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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. 14155
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    INDEX
    Explanations

    phrases related to attempts or efforts

    oai_token-act-pair · gpt-3.5-turbo

    expressions encouraging effort or attempts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ifa
    -0.70
     concerns
    -0.66
     Concern
    -0.66
     Deaths
    -0.65
     proceeds
    -0.63
    ablishment
    -0.62
    _-
    -0.62
    \">
    -0.62
    ensable
    -0.61
     Klu
    -0.61
    POSITIVE LOGITS
     harder
    0.92
     hardest
    0.91
     unsuccessfully
    0.90
     trick
    0.83
     experiment
    0.79
    pmwiki
    0.78
    ocre
    0.74
    unal
    0.73
     patience
    0.73
    ullivan
    0.72
    Activations Density 0.078%

    No Known Activations