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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. 7742
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    INDEX
    Explanations

    the name "Carr"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    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
    lihood
    -0.95
    hh
    -0.71
     Koran
    -0.67
    kai
    -0.66
     deed
    -0.63
    ¥µ
    -0.62
    ī
    -0.62
    ĨĴ
    -0.61
    İĭ
    -0.61
    track
    -0.60
    POSITIVE LOGITS
    agher
    1.44
    illo
    1.24
    asso
    1.04
    abba
    1.01
    uda
    1.01
    anca
    0.98
    uth
    0.97
    antes
    0.96
    ache
    0.92
    adium
    0.92
    Activations Density 0.021%

    No Known Activations