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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. 10827
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    Explanations

    mentions of legal proceedings involving juries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of juries

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.73
    irst
    -0.68
    kun
    -0.63
    stead
    -0.62
    lav
    -0.61
    ospital
    -0.61
     Patient
    -0.61
    assetsadobe
    -0.60
     Trip
    -0.60
     Occupations
    -0.59
    POSITIVE LOGITS
     jury
    0.86
    glass
    0.82
     jurors
    0.78
    Panel
    0.78
     convened
    0.77
    naire
    0.77
    room
    0.76
    rooms
    0.76
     verdict
    0.76
     acquitted
    0.74
    Activations Density 0.030%

    No Known Activations