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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

    phrases related to arrests or individuals being arrested

    oai_token-act-pair · gpt-3.5-turbo

    instances of arrests in the text

    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
    casters
    -0.73
    ankind
    -0.71
     Remastered
    -0.71
    pace
    -0.70
    vironment
    -0.70
    clips
    -0.69
    emonic
    -0.69
    split
    -0.65
    gran
    -0.64
    ctory
    -0.63
    POSITIVE LOGITS
     arrested
    0.74
     arrest
    0.73
     Constable
    0.72
     Warrant
    0.71
     Marshal
    0.70
     felon
    0.70
    arnaev
    0.68
     Sgt
    0.68
     arrests
    0.68
     apprehended
    0.68
    Activations Density 0.031%

    No Known Activations