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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
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    Explanations

    mentions of law enforcement entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific occupations, industries, and governmental roles

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.73
    Houston
    -0.72
     Houston
    -0.64
    asonable
    -0.63
    xious
    -0.63
     sequels
    -0.62
    Harris
    -0.62
     Hawkins
    -0.60
     Vegas
    -0.58
     TAMADRA
    -0.58
    POSITIVE LOGITS
     abroad
    0.84
    isine
    0.71
    orate
    0.70
     Orchestra
    0.67
     diplomat
    0.66
    azeera
    0.65
     surn
    0.65
     consulate
    0.65
     philosopher
    0.64
    Äį
    0.64
    Activations Density 0.535%

    No Known Activations