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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. 5-RES-JB
    6. 9957
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    INDEX
    Explanations

    phrases related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "on" in the context of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MODE
    -0.73
    TPP
    -0.71
    INESS
    -0.70
    rament
    -0.69
    Cola
    -0.66
    BIP
    -0.65
    RL
    -0.64
    TextColor
    -0.64
    BUT
    -0.64
    hammer
    -0.63
    POSITIVE LOGITS
     behalf
    1.40
    etime
    1.13
    shore
    1.08
     occasion
    1.01
    erous
    1.00
    site
    0.96
    yx
    0.95
     arrival
    0.94
    coming
    0.94
     weekends
    0.90
    Activations Density 0.245%

    No Known Activations