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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. 9-RES-JB
    11. 13508
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of calls to action or prompts to engage with content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    unta
    -0.66
    »Ĵ
    -0.66
    bably
    -0.64
    ascal
    -0.64
    avement
    -0.61
    uable
    -0.58
    AFTA
    -0.58
    opard
    -0.57
    ngth
    -0.57
    otor
    -0.56
    POSITIVE LOGITS
    ership
    1.01
    Write
    0.94
    ers
    0.92
    andowski
    0.89
    çīĪ
    0.83
    dress
    0.82
    ings
    0.78
     aloud
    0.77
     Transcript
    0.75
    gments
    0.73
    Activations Density 0.026%

    No Known Activations