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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
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    Explanations

    the mention of the specific term "Wolf" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Wolf."

    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
    bably
    -0.88
    thritis
    -0.83
    nces
    -0.78
    iotics
    -0.74
    acists
    -0.73
    ngth
    -0.72
    pora
    -0.71
    perture
    -0.71
    ursed
    -0.70
     Seym
    -0.70
    POSITIVE LOGITS
    enstein
    1.28
    hound
    1.20
    sburg
    1.09
    gang
    1.00
    pack
    0.98
    ram
    0.96
    owitz
    0.95
     Wolves
    0.93
     Wolf
    0.91
    Wolf
    0.90
    Activations Density 0.023%

    No Known Activations