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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. 17894
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    Explanations

    phrases related to opinions or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    statements of significant or important conditions

    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
    âĹ¼
    -0.78
    senal
    -0.75
    EngineDebug
    -0.74
     ðŁĻĤ
    -0.73
    Production
    -0.73
    arthed
    -0.72
    Poké
    -0.72
    ocobo
    -0.71
    /
    -0.71
    SpaceEngineers
    -0.70
    POSITIVE LOGITS
     coward
    0.89
     irony
    0.82
     pity
    0.82
     shrew
    0.80
     cynicism
    0.78
     Eliot
    0.76
     cynical
    0.76
     intolerable
    0.74
     shame
    0.74
     sober
    0.72
    Activations Density 0.659%

    No Known Activations