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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. 10-RES-JB
    11. 4393
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gar
    -0.80
     Nether
    -0.79
    Dur
    -0.74
    204
    -0.74
    burse
    -0.72
     204
    -0.72
     Bib
    -0.72
     Forth
    -0.72
    bor
    -0.71
     Gork
    -0.71
    POSITIVE LOGITS
     wolf
    0.79
    ="
    0.76
     SHOW
    0.76
    iston
    0.72
     wolves
    0.72
     Steve
    0.71
    rio
    0.71
    ola
    0.71
     Corvette
    0.70
    atton
    0.70
    Activations Density 0.338%

    No Known Activations