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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. 9-RES-JB
    11. 5363
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    INDEX
    Explanations

    statements of belief, hope, or argumentation

    oai_token-act-pair · gpt-3.5-turbo

    statements of intentions or hopes made by companies and organizations

    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
    atorial
    -0.64
    Dad
    -0.60
    Witness
    -0.59
    ement
    -0.59
    ileaks
    -0.59
    ozo
    -0.59
    Was
    -0.59
    lit
    -0.58
    CLASSIFIED
    -0.58
    vez
    -0.57
    POSITIVE LOGITS
    phas
    0.82
     simpl
    0.71
     simplicity
    0.68
     aim
    0.67
     proceeds
    0.67
     flexibility
    0.65
    İĭ
    0.64
     achieving
    0.63
     they
    0.63
     Ideal
    0.63
    Activations Density 0.333%

    No Known Activations