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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. 9-RES-JB
    11. 1617
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    Explanations

    mentions of schedules and appearances in legal contexts

    oai_token-act-pair · gpt-3.5-turbo

    explicit mentions of announcements and legal proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riched
    -0.67
    vec
    -0.67
     forgetting
    -0.66
     Deaths
    -0.65
    hett
    -0.65
    reated
    -0.64
     perished
    -0.63
     existed
    -0.62
     fors
    -0.61
     literal
    -0.61
    POSITIVE LOGITS
     tomorrow
    1.09
     next
    0.89
     soon
    0.87
     Thurs
    0.86
     Thursday
    0.86
     Wednesday
    0.85
     Tuesday
    0.81
    Thursday
    0.80
     hearings
    0.79
     sometime
    0.78
    Activations Density 0.408%

    No Known Activations