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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. 8-RES-JB
    11. 128
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to national security

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.88
    herty
    -0.82
    ullivan
    -0.74
    chnology
    -0.69
    enhagen
    -0.69
     Coffin
    -0.68
    essen
    -0.67
    furt
    -0.66
    bite
    -0.66
    lda
    -0.64
    POSITIVE LOGITS
    istic
    1.25
    ised
    1.25
    ities
    1.20
    ized
    1.09
    isations
    1.08
    isation
    1.07
    istically
    1.04
    isms
    1.02
    ization
    1.02
     Geographic
    1.01
    Activations Density 0.045%

    No Known Activations