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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. 13902
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    Explanations

    websites with additional information or related articles

    oai_token-act-pair · gpt-3.5-turbo

    references to additional reading materials or recommendations

    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
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    Negative Logits
    cffff
    -0.71
    otos
    -0.69
     orderly
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     stabilized
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     ende
    -0.66
     slightest
    -0.65
     oun
    -0.65
     cumbers
    -0.64
    ĪĴ
    -0.64
     damned
    -0.63
    POSITIVE LOGITS
    :
    1.36
    :'
    1.12
    :-
    1.07
     :
    1.01
    <|endoftext|>
    1.00
    *:
    0.96
    .:
    0.91
     âĸº
    0.87
     Stories
    0.86
    !:
    0.85
    Activations Density 0.076%

    No Known Activations