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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. 21203
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    Explanations

    items listed within parentheses

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical information

    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
    tnc
    -0.83
    enance
    -0.75
    ¯
    -0.64
    ff
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     Shutterstock
    -0.62
    erers
    -0.61
    edia
    -0.59
    iffs
    -0.59
    ĸļ
    -0.58
     nearby
    -0.57
    POSITIVE LOGITS
     Including
    1.21
     totaling
    1.19
     apiece
    1.08
    including
    1.02
     including
    0.98
     consecut
    0.90
     total
    0.82
    each
    0.81
     tot
    0.78
    ãĥ¯ãĥ³
    0.76
    Activations Density 0.468%

    No Known Activations