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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. 4-RES-JB
    11. 1311
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    Explanations

    terms related to outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of outcomes or results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     millenn
    -0.76
     needles
    -0.71
     tradem
    -0.71
    undai
    -0.71
     livest
    -0.70
    wagen
    -0.69
     Passage
    -0.68
     periphery
    -0.66
    awks
    -0.65
    icrobial
    -0.64
    POSITIVE LOGITS
    ivity
    0.93
    ively
    0.83
    enance
    0.80
    iveness
    0.79
    antly
    0.78
    lessly
    0.76
    Enh
    0.74
    ãĥł
    0.74
    iments
    0.73
    iment
    0.72
    Activations Density 0.027%

    No Known Activations