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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. 4616
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    INDEX
    Explanations

    numerical values within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number eight

    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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    Negative Logits
    itton
    -0.67
    andise
    -0.65
     Tas
    -0.62
     Jinn
    -0.62
     Gael
    -0.60
     Fraz
    -0.59
    actor
    -0.58
     Lauder
    -0.57
    ographers
    -0.57
     pause
    -0.57
    POSITIVE LOGITS
    eenth
    1.17
    192
    1.16
    een
    1.16
    989
    1.03
    ecause
    1.03
    98
    0.99
    57
    0.99
    90
    0.99
    58
    0.98
    chan
    0.97
    Activations Density 0.081%

    No Known Activations