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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. 2-RES-JB
    11. 1909
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    Explanations

    quantitative values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values accompanied by a margin of error

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    bolt
    -0.86
     Gingrich
    -0.81
    stall
    -0.78
    ãĥ¥
    -0.71
    caster
    -0.68
    ploy
    -0.68
    ãĥ£
    -0.68
    ا
    -0.67
    stru
    -0.67
     Heist
    -0.66
    POSITIVE LOGITS
    ĨĴ
    0.82
    IVER
    0.82
     Seym
    0.80
    «ĺ
    0.79
     sqor
    0.79
    ients
    0.78
    ruits
    0.77
    inces
    0.77
    phies
    0.75
    osate
    0.74
    Activations Density 0.020%

    No Known Activations