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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of different types of meats

    oai_token-act-pair · gpt-3.5-turbo

    references to meat and its consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McKenna
    -0.66
     Citizens
    -0.66
    ordinate
    -0.66
    OWN
    -0.64
    BY
    -0.63
     bluff
    -0.61
    Rated
    -0.61
     Fundamental
    -0.60
    ANK
    -0.59
     Stafford
    -0.59
    POSITIVE LOGITS
    balls
    1.17
    meat
    1.03
    skin
    0.96
     meat
    0.93
    heads
    0.91
     pies
    0.91
    aceous
    0.90
    lo
    0.88
    bones
    0.86
    cake
    0.86
    Activations Density 0.013%

    No Known Activations