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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. 9-RES-JB
    6. 940
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    Explanations

    words related to exerting force or pressure on someone or something

    oai_token-act-pair · gpt-3.5-turbo

    references to coercion or force applied to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uded
    -0.65
    izoph
    -0.58
    ILA
    -0.57
    aming
    -0.57
    von
    -0.56
    ording
    -0.55
     artif
    -0.55
    effect
    -0.55
     Shap
    -0.54
    angered
    -0.54
    POSITIVE LOGITS
     into
    1.10
     to
    1.03
    into
    0.98
     toward
    0.96
     onward
    0.95
     onto
    0.95
     towards
    0.92
     onwards
    0.87
     thereto
    0.86
    To
    0.79
    Activations Density 0.164%

    No Known Activations