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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. 7862
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quoted text or speech

    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
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    No Comments

    Negative Logits
     whistle
    -0.93
     amnesty
    -0.91
     creep
    -0.88
     polic
    -0.85
     tabloid
    -0.85
     shake
    -0.85
     pir
    -0.85
     shit
    -0.84
     crunch
    -0.83
     glac
    -0.82
    POSITIVE LOGITS
    Therefore
    1.74
    Due
    1.74
    Thus
    1.71
    Given
    1.67
    Our
    1.66
    Although
    1.65
    Moreover
    1.64
    Additionally
    1.63
    Such
    1.63
    Based
    1.63
    Activations Density 0.164%

    No Known Activations