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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. 11-RES-JB
    11. 346
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    Explanations

    reports or mentions of various incidents or situations

    oai_token-act-pair · gpt-3.5-turbo

    reports of incidents or adverse events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terms
    -0.86
    aven
    -0.83
    minus
    -0.81
    AppData
    -0.79
    é¾
    -0.78
    izons
    -0.77
    à¼
    -0.76
    options
    -0.75
    Think
    -0.75
    ulo
    -0.75
    POSITIVE LOGITS
     accidental
    1.16
     wrongdoing
    1.16
     abuse
    1.14
     criminality
    1.10
     vandalism
    1.08
     misuse
    1.07
     improper
    1.06
     misconduct
    1.05
     intoxication
    1.04
     mistaken
    1.02
    Activations Density 0.209%

    No Known Activations