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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. 10-RES-JB
    11. 8266
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    Explanations

    words or phrases related to prominent or significant things

    oai_token-act-pair · gpt-3.5-turbo

    words related to pre-eminent or leading characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.87
    GREEN
    -0.71
    =-=-=-=-
    -0.69
    $$$$
    -0.66
    Lago
    -0.64
    Pool
    -0.64
     Woodward
    -0.63
    witch
    -0.62
    SHARE
    -0.61
     eminent
    -0.59
    POSITIVE LOGITS
    atural
    1.07
    ptive
    0.97
    umatic
    0.95
    autions
    0.88
    antage
    0.87
    ition
    0.86
    uberty
    0.85
    aturally
    0.85
    isites
    0.85
    itory
    0.84
    Activations Density 0.058%

    No Known Activations