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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. 9-RES-JB
    11. 1888
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    Explanations

    words related to various physical objects or things

    oai_token-act-pair · gpt-3.5-turbo

    references to various generic items or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.82
    utenant
    -0.71
     Lithuania
    -0.69
     Cycling
    -0.69
    uay
    -0.64
    bike
    -0.64
    isition
    -0.63
    amide
    -0.63
    resa
    -0.63
    pload
    -0.63
    POSITIVE LOGITS
    worldly
    1.48
     assorted
    1.25
     forms
    1.16
     aspects
    1.06
     kinds
    1.04
     types
    1.03
     factors
    1.00
     considerations
    0.98
     goodies
    0.95
     pertinent
    0.92
    Activations Density 0.092%

    No Known Activations