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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. 3-RES-JB
    11. 1751
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to global concepts or themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.81
    Ô
    -0.80
    TPPStreamerBot
    -0.78
    Examples
    -0.77
    IENT
    -0.77
    abee
    -0.72
    Initialized
    -0.71
    IVES
    -0.71
    Evil
    -0.71
    sbm
    -0.69
    POSITIVE LOGITS
     globe
    0.97
    ophone
    0.95
    icz
    0.78
    wide
    0.71
    arium
    0.70
     warming
    0.70
     overseas
    0.70
     maple
    0.67
     Trident
    0.66
    sheet
    0.66
    Activations Density 0.010%

    No Known Activations