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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. 3-RES-JB
    11. 3867
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    INDEX
    Explanations

    references to principles or values, specifically related to decisions or actions taken by institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proportionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urst
    -0.80
    glas
    -0.75
    htaking
    -0.74
    drivers
    -0.72
    opsis
    -0.71
    ĺħ
    -0.69
    ignty
    -0.68
    fecture
    -0.66
    adows
    -0.65
    dayName
    -0.64
    POSITIVE LOGITS
     Archdemon
    0.83
     Genie
    0.78
     Scor
    0.73
    Sund
    0.71
    Die
    0.69
    ifiable
    0.67
     Schwar
    0.66
    Film
    0.65
    ãĥķãĤ¡
    0.65
     Fallen
    0.64
    Activations Density 0.000%

    No Known Activations