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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. 16206
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    Explanations

    statements about character traits or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion and evaluative statements regarding individuals' actions and characteristics

    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
     respective
    -0.64
    FTWARE
    -0.61
    mbuds
    -0.60
     bulletin
    -0.59
    acements
    -0.58
     ourselves
    -0.57
    riad
    -0.57
    athi
    -0.56
    ackets
    -0.55
     yourselves
    -0.55
    POSITIVE LOGITS
    His
    1.49
     he
    1.45
     He
    1.45
     His
    1.44
    his
    1.40
     his
    1.39
    He
    1.38
     himself
    1.31
     Himself
    1.16
    he
    1.08
    Activations Density 0.979%

    No Known Activations