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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. 1-RES-JB
    11. 3378
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ichick
    -0.77
    uve
    -0.76
    ively
    -0.75
    igue
    -0.72
    ouf
    -0.72
    ENDED
    -0.70
    helm
    -0.67
    imore
    -0.64
    hammad
    -0.63
    ingu
    -0.63
    POSITIVE LOGITS
    IGH
    0.84
    TAIN
    0.83
    doms
    0.75
    hiba
    0.70
    stood
    0.69
    tesy
    0.68
    vern
    0.67
    ysis
    0.66
     divul
    0.65
    Letter
    0.65
    Activations Density 0.042%

    No Known Activations