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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 102
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    INDEX
    Explanations

    phrases related to explosions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "explode" or its variations such as "exploding" or "exploded"

    oai_token-act-pair · gpt-4-turbo

    terms and variations related to explosive actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "explode" or its variations

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ña
    -0.77
    abet
    -0.75
    esthetic
    -0.73
    leg
    -0.72
    aunder
    -0.72
    uth
    -0.70
    chal
    -0.70
    ajo
    -0.65
    ittee
    -0.64
    trained
    -0.64
    POSITIVE LOGITS
     explodes
    0.95
     bursting
    0.88
     exploding
    0.84
     exploded
    0.80
     explode
    0.79
     explosion
    0.76
    opl
    0.74
     burst
    0.73
     shells
    0.73
    alore
    0.73
    Activations Density 0.011%

    No Known Activations