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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. 7-RES-JB
    11. 18890
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    Explanations

    locations in the United States

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas and periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obin
    -0.72
    pak
    -0.70
    hift
    -0.70
    zing
    -0.66
    Afee
    -0.65
    worldly
    -0.61
    BOOK
    -0.59
    hide
    -0.59
    ="/
    -0.59
    peat
    -0.58
    POSITIVE LOGITS
     respectively
    0.77
     where
    0.74
     circa
    0.71
     birthplace
    0.69
    ICAN
    0.65
     which
    0.65
    raints
    0.64
    where
    0.63
     aka
    0.62
     Calif
    0.62
    Activations Density 0.087%

    No Known Activations