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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. 7-RES-JB
    11. 3573
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    Explanations

    words related to surveillance and monitoring activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to illegal activities and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cout
    -0.67
     Franch
    -0.65
    heid
    -0.64
     Jiu
    -0.62
     Twenty
    -0.61
     Fifty
    -0.60
     Fen
    -0.60
     Mankind
    -0.60
    nil
    -0.59
     bitterly
    -0.59
    POSITIVE LOGITS
    ased
    1.08
    asing
    1.07
    appers
    0.96
    apped
    0.96
    ases
    0.96
    inding
    0.96
    anging
    0.95
    aped
    0.93
    ading
    0.93
    ritten
    0.93
    Activations Density 0.082%

    No Known Activations