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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. 1-RES-JB
    11. 591
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    Explanations

    terms associated with negative health conditions or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ill" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aptic
    -0.69
    BOOK
    -0.67
    EStreamFrame
    -0.65
    ynthesis
    -0.64
    ICAN
    -0.63
    rian
    -0.61
    oother
    -0.60
    board
    -0.60
     Breaker
    -0.60
    ourke
    -0.60
    POSITIVE LOGITS
    uminati
    1.34
    inois
    1.20
    nesses
    1.12
    umin
    1.07
    iberal
    0.98
    ison
    0.87
    icit
    0.86
     ill
    0.85
    igible
    0.85
    estro
    0.84
    Activations Density 0.004%

    No Known Activations