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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. 10-RES-JB
    11. 1461
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    Explanations

    references to official entities or statements

    oai_token-act-pair · gpt-3.5-turbo

    references to official sources or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.93
    oran
    -0.78
    ertodd
    -0.77
    ocene
    -0.77
    bane
    -0.76
    OPE
    -0.76
    xual
    -0.76
    esville
    -0.76
    nesota
    -0.75
    actionDate
    -0.75
    POSITIVE LOGITS
    dom
    1.03
     announcement
    0.89
     sanctioned
    0.86
    ities
    0.84
     channels
    0.81
     Opposition
    0.80
     confirmation
    0.77
     explanation
    0.76
     scorer
    0.76
     spokes
    0.75
    Activations Density 0.053%

    No Known Activations