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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. 14662
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    INDEX
    Explanations

    demonstrative verbs

    oai_token-act-pair · gpt-3.5-turbo

    words indicating categorization and organization

    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
    Not in Any Lists

    No Comments

    Negative Logits
     examiner
    -0.64
     Summit
    -0.53
    DragonMagazine
    -0.53
     impulse
    -0.52
     Atlas
    -0.51
     environment
    -0.50
     lapse
    -0.48
     Worlds
    -0.48
     objective
    -0.47
     oldest
    -0.47
    POSITIVE LOGITS
    posed
    0.81
    icated
    0.79
    alled
    0.78
    arily
    0.78
    ounded
    0.77
    ased
    0.76
    ared
    0.75
    jured
    0.74
    inged
    0.74
    acing
    0.74
    Activations Density 0.740%

    No Known Activations