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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. 13258
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    Explanations

    keywords related to significant moments or events

    oai_token-act-pair · gpt-3.5-turbo

    words ending in "ent" or "ant"

    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
    udeb
    -0.85
     thrust
    -0.62
    printf
    -0.62
     fugitive
    -0.60
     CoC
    -0.60
     plunder
    -0.59
    Tex
    -0.58
     uncont
    -0.58
    mbuds
    -0.58
    cffff
    -0.57
    POSITIVE LOGITS
    terday
    0.78
    actory
    0.77
    aneous
    0.75
    boxing
    0.73
    hower
    0.71
    ible
    0.71
    imentary
    0.70
    ROR
    0.70
    rance
    0.70
    arial
    0.70
    Activations Density 0.156%

    No Known Activations