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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. 10153
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    Explanations

    phrases related to necessities or urgent requirements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of necessity or urgent requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    yss
    -0.66
    sembly
    -0.61
     corrid
    -0.59
     rigged
    -0.58
     bursting
    -0.57
    gdala
    -0.57
     Warfare
    -0.56
     quir
    -0.55
    Ń·
    -0.55
     Magnum
    -0.55
    POSITIVE LOGITS
    lessly
    1.20
    liest
    0.83
    lest
    0.72
    Gaming
    0.69
    ered
    0.69
    iness
    0.67
    ache
    0.66
    onies
    0.66
    acy
    0.64
    ering
    0.64
    Activations Density 0.051%

    No Known Activations