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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. 2780
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    Explanations

    words related to demanding action or information in a strong or urgent manner

    oai_token-act-pair · gpt-3.5-turbo

    terms related to demands for justice and accountability

    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
    pron
    -0.70
     greenhouse
    -0.64
     prest
    -0.61
     Gleaming
    -0.61
     fertile
    -0.60
     Carbuncle
    -0.58
     POP
    -0.58
     Glac
    -0.58
     rook
    -0.57
     metic
    -0.57
    POSITIVE LOGITS
     urgently
    0.96
     clarification
    0.91
     from
    0.90
     ASAP
    0.86
     FROM
    0.80
     amid
    0.77
     BEFORE
    0.76
     upfront
    0.76
    enance
    0.74
     lest
    0.74
    Activations Density 0.222%

    No Known Activations