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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. 11-RES-JB
    11. 599
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    INDEX
    Explanations

    specific numbers and times mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    symbols, punctuation, and numerical indicators related to time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.65
    lihood
    -0.63
     Toledo
    -0.62
     Ples
    -0.59
     rehabilit
    -0.58
     Barg
    -0.56
    alore
    -0.56
    etsk
    -0.53
    ŃĶ
    -0.53
    rez
    -0.52
    POSITIVE LOGITS
    1
    1.74
     1
    1.62
    2
    1.00
     ½
    0.95
    001
    0.88
     2
    0.88
    01
    0.85
    ½
    0.84
    0
    0.82
    1001
    0.82
    Activations Density 0.137%

    No Known Activations