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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. 6-RES-JB
    11. 3713
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    Explanations

    specific roles or responsibilities assigned to individuals or groups within a given context

    oai_token-act-pair · gpt-3.5-turbo

    frequent references to customs, duties, and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    phabet
    -0.67
    TextColor
    -0.66
    Palest
    -0.65
    é¾į
    -0.65
    é¾
    -0.64
    CLASSIFIED
    -0.63
    ¥µ
    -0.63
    ´
    -0.63
    uli
    -0.62
    76561
    -0.60
    POSITIVE LOGITS
     Governments
    0.65
     raining
    0.64
     Engels
    0.63
    encia
    0.62
     Osw
    0.62
    EC
    0.59
    ifiable
    0.58
     Arn
    0.58
    ¶
    0.57
     Instruments
    0.57
    Activations Density 0.340%

    No Known Activations