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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. 8-RES-JB
    11. 10828
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    Explanations

    mentions of identifying or being identified as specific individuals based on given attributes or circumstances.

    oai_token-act-pair · gpt-3.5-turbo

    identifications and descriptions related to suspects and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fters
    -0.79
    issions
    -0.72
    âĶĢâĶĢâĶĢâĶĢ
    -0.71
    bench
    -0.70
    llan
    -0.70
     truths
    -0.70
    optim
    -0.70
    absor
    -0.69
    çļ
    -0.69
    ossom
    -0.68
    POSITIVE LOGITS
     unidentified
    0.98
     juveniles
    0.96
     Caucasian
    0.91
     unknown
    0.87
     masked
    0.86
     surn
    0.86
     Mohamed
    0.86
     Uz
    0.83
     identified
    0.82
     Faw
    0.82
    Activations Density 0.471%

    No Known Activations