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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. 8-RES-JB
    11. 6082
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    INDEX
    Explanations

    reasons or causes for actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    causal phrases that indicate reasons or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bage
    -0.74
     Anyway
    -0.70
    cells
    -0.69
    ail
    -0.68
    Anyway
    -0.67
    mber
    -0.66
    igr
    -0.66
    inis
    -0.65
    Plug
    -0.65
    Dro
    -0.64
    POSITIVE LOGITS
     resemblance
    0.73
     precedent
    0.73
     anecd
    0.71
     historically
    0.69
     unlike
    0.67
     "[
    0.67
     concerns
    0.66
     initially
    0.65
     resemb
    0.64
     it
    0.64
    Activations Density 0.255%

    No Known Activations