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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. 21598
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    INDEX
    Explanations

    passive verb constructs

    oai_token-act-pair · gpt-3.5-turbo

    statements about people's characteristics or actions

    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
    iator
    -0.73
    ulence
    -0.71
     Scrib
    -0.68
     Dude
    -0.65
     slope
    -0.64
    lag
    -0.64
    oire
    -0.63
     primer
    -0.63
    culosis
    -0.62
     legality
    -0.62
    POSITIVE LOGITS
    wolves
    1.22
     themselves
    1.07
    selves
    1.05
     selves
    0.98
    acons
    0.97
    models
    0.96
     able
    0.94
     idiots
    0.94
     beneficiaries
    0.94
     heirs
    0.92
    Activations Density 0.572%

    No Known Activations