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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. 14719
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    Explanations

    phrases or sentences describing mixtures or combinations of different elements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of combinations of various elements or factors

    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
    arag
    -0.74
    iak
    -0.74
    der
    -0.72
    yers
    -0.72
    den
    -0.71
    artisan
    -0.70
    zbollah
    -0.68
    icial
    -0.66
    otle
    -0.62
    ond
    -0.61
    POSITIVE LOGITS
     thereof
    1.09
     between
    0.98
     Between
    0.82
     of
    0.81
     consisting
    0.72
     seamlessly
    0.71
    ofi
    0.69
     BET
    0.68
     involving
    0.67
    hesis
    0.67
    Activations Density 0.109%

    No Known Activations