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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. 929
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    Explanations

    dates represented as numerical values

    oai_token-act-pair · gpt-3.5-turbo

    commas and numerical values, particularly years

    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
    Otherwise
    -0.70
    ¬¼
    -0.67
     antioxid
    -0.66
    alo
    -0.66
    (-
    -0.65
    SourceFile
    -0.64
    arah
    -0.63
     BELOW
    -0.63
    elta
    -0.60
    ]);
    -0.60
    POSITIVE LOGITS
    when
    0.98
     when
    0.89
     however
    0.84
    schild
    0.74
    upon
    0.73
     Newsweek
    0.71
    wyn
    0.68
     shortly
    0.68
     Edward
    0.67
    lished
    0.66
    Activations Density 0.176%

    No Known Activations