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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. 4-RES-JB
    11. 7798
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    Explanations

    technical specifications and measurements like screen size and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    specifications and measurements related to devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     association
    -0.68
    è»
    -0.67
    nih
    -0.64
    ée
    -0.62
    vernment
    -0.61
     embell
    -0.60
    cci
    -0.59
     pronouns
    -0.58
    ocument
    -0.58
    istration
    -0.58
    POSITIVE LOGITS
     ILCS
    0.73
    enger
    0.67
    ĪĴ
    0.67
    vision
    0.67
     poles
    0.66
    cooked
    0.66
    waukee
    0.63
    lead
    0.62
    clock
    0.62
    ibu
    0.62
    Activations Density 0.221%

    No Known Activations