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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. 7-RES-JB
    11. 7865
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    Explanations

    mentions of legal proceedings involving juries

    oai_token-act-pair · gpt-3.5-turbo

    references to jury-related terminology and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.67
    ities
    -0.64
    Else
    -0.64
    ospital
    -0.63
    forth
    -0.62
    href
    -0.60
    zl
    -0.60
    ophen
    -0.60
     Bib
    -0.59
    ãĤ¦
    -0.59
    POSITIVE LOGITS
    glass
    0.85
     verdict
    0.80
     jury
    0.80
     acquitted
    0.79
    rooms
    0.76
     deliberations
    0.76
     jurors
    0.75
     deliber
    0.73
     convened
    0.73
    room
    0.73
    Activations Density 0.020%

    No Known Activations