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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

    references to legal proceedings involving juries

    oai_token-act-pair · gpt-3.5-turbo

    references to juries and their decisions in legal contexts

    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
     Franch
    -0.74
    irst
    -0.74
     Prosper
    -0.65
    dayName
    -0.65
     Occupations
    -0.64
    UAL
    -0.63
    eworld
    -0.62
    zl
    -0.62
     Trip
    -0.61
     Gork
    -0.60
    POSITIVE LOGITS
     jury
    0.96
     jurors
    0.88
    proof
    0.82
    glass
    0.81
     verdict
    0.81
     Jury
    0.78
     acquitted
    0.76
    Panel
    0.75
    room
    0.71
    ĵĺ
    0.70
    Activations Density 0.013%

    No Known Activations