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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. 11-RES-JB
    11. 14610
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    Explanations

    statements that provide disclaimers or notes

    oai_token-act-pair · gpt-3.5-turbo

    disclaimers or notes within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raq
    -0.78
    oise
    -0.76
    SourceFile
    -0.70
    externalActionCode
    -0.68
    bled
    -0.60
    ãĤ¼ãĤ¦ãĤ¹
    -0.59
    rift
    -0.59
    atur
    -0.59
    sett
    -0.59
    retched
    -0.58
    POSITIVE LOGITS
     THIS
    1.02
     THESE
    1.00
     Due
    0.97
     This
    0.95
     Restaur
    0.93
     spoilers
    0.87
     These
    0.87
     this
    0.86
     Whilst
    0.86
    this
    0.85
    Activations Density 0.150%

    No Known Activations