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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. 4-RES-JB
    11. 9512
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    INDEX
    Explanations

    statements or contexts indicating potential negative consequences or actions

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements or clauses indicating potential consequences

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

    No Comments

    Negative Logits
    ãĤª
    -0.80
    Eye
    -0.80
    FTWARE
    -0.71
    iliar
    -0.68
    STAR
    -0.67
    akia
    -0.67
    ãĤ¨ãĥ«
    -0.67
    axy
    -0.65
    âĸ¬
    -0.64
    Rated
    -0.64
    POSITIVE LOGITS
    fy
    0.98
    rame
    0.95
    soever
    0.84
     necessary
    0.82
     they
    0.80
     unchecked
    0.79
    ornia
    0.74
     you
    0.74
    culosis
    0.72
    phy
    0.70
    Activations Density 0.092%

    No Known Activations