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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. 13847
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    Explanations

    themes of inability or challenges in achieving or maintaining conditions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases describing inability or difficulty in maintaining, achieving, or coping with certain tasks or situations

    oai_token-act-pair · gpt-3.5-turbo
    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
    initely
    -0.68
     shalt
    -0.61
    Adams
    -0.61
     kindred
    -0.60
    LESS
    -0.60
    æľ
    -0.59
    Tip
    -0.56
     SHOULD
    -0.56
    iol
    -0.56
    IDA
    -0.55
    POSITIVE LOGITS
     anymore
    1.29
     nor
    1.01
     adequately
    0.95
     satisf
    0.91
     coherent
    0.84
     reliably
    0.80
     due
    0.77
     sustained
    0.77
     properly
    0.76
    due
    0.75
    Activations Density 1.018%

    No Known Activations