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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. 13220
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    Explanations

    phrases related to dressing actions or places

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dressing and clothing activities

    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
    ntil
    -0.88
    pelling
    -0.75
    reme
    -0.73
    fram
    -0.73
    ellen
    -0.71
    founded
    -0.71
    interrupted
    -0.70
    untu
    -0.68
    Operation
    -0.67
    ursed
    -0.67
    POSITIVE LOGITS
     gown
    0.97
    glers
    0.88
     rooms
    0.84
     rehearsal
    0.83
     dressing
    0.82
    rooms
    0.81
     Diesel
    0.79
     dresses
    0.78
    room
    0.78
     rehears
    0.76
    Activations Density 0.009%

    No Known Activations