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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    mentions of people being arrested

    oai_token-act-pair · gpt-3.5-turbo

    instances of arrests and related legal actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.75
    rium
    -0.72
    ankind
    -0.70
    dust
    -0.68
    emic
    -0.68
    casters
    -0.66
    clips
    -0.64
     superiority
    -0.63
    gran
    -0.61
    phies
    -0.61
    POSITIVE LOGITS
     criminally
    0.88
     felon
    0.84
     handcuffed
    0.79
     illegally
    0.75
     unlawfully
    0.73
     arrested
    0.73
     arra
    0.73
     alongside
    0.71
    unta
    0.71
     apprehended
    0.70
    Activations Density 0.081%

    No Known Activations