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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. 9458
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    INDEX
    Explanations

    mentions of individuals or entities who are considered pioneers in their respective fields or areas of expertise

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pioneering or innovation

    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
    andra
    -0.79
    ueller
    -0.70
    par
    -0.68
    atched
    -0.64
    phis
    -0.63
    ibal
    -0.62
    endar
    -0.62
    othy
    -0.62
    room
    -0.61
    ahan
    -0.61
    POSITIVE LOGITS
     pioneers
    0.89
    TAIN
    0.87
     pioneer
    0.86
     Pione
    0.84
     pioneering
    0.81
     pioneered
    0.73
     explorer
    0.72
     Invention
    0.71
     Explorer
    0.69
    ãĤ¤ãĥĪ
    0.66
    Activations Density 0.020%

    No Known Activations