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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. 6-RES-JB
    11. 10795
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    Explanations

    proper nouns related to geographical locations or businesses

    oai_token-act-pair · gpt-3.5-turbo

    empty segments or blank spaces in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fecture
    -1.03
    orate
    -0.86
    ERAL
    -0.84
    insula
    -0.78
    Interstitial
    -0.73
    nesday
    -0.73
    urated
    -0.70
    uyomi
    -0.68
    ictions
    -0.66
    wered
    -0.65
    POSITIVE LOGITS
    Wing
    0.95
    fox
    0.85
    view
    0.85
    bum
    0.85
    dale
    0.84
    wind
    0.83
    wood
    0.82
    wolf
    0.81
    bug
    0.81
    wing
    0.81
    Activations Density 0.118%

    No Known Activations