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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. 4375
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    INDEX
    Explanations

    mentions of defensive actions or strategies

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to confrontation or combat scenarios

    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
    urches
    -0.77
     encount
    -0.67
    IVERS
    -0.67
     pioneers
    -0.65
     selves
    -0.65
     millenn
    -0.65
     proponents
    -0.61
     saints
    -0.61
     promoters
    -0.61
    arij
    -0.60
    POSITIVE LOGITS
     theirs
    0.96
     himself
    0.90
     hers
    0.88
     herself
    0.71
     whom
    0.68
     Himself
    0.65
    heit
    0.65
     his
    0.64
     him
    0.62
    stretched
    0.60
    Activations Density 0.885%

    No Known Activations