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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. 937
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    Explanations

    checkboxes followed by a call to action

    oai_token-act-pair · gpt-3.5-turbo

    user interface elements related to verification and interaction prompts

    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
     perspect
    -0.76
    ufact
    -0.70
    ccording
    -0.69
    76561
    -0.65
    venge
    -0.63
     POV
    -0.62
    vironment
    -0.59
     seiz
    -0.56
    lik
    -0.54
    ¥ŀ
    -0.54
    POSITIVE LOGITS
     Invalid
    0.82
    ause
    0.66
     buttons
    0.65
     button
    0.63
    box
    0.61
     McCabe
    0.58
    Button
    0.57
     Submit
    0.57
    ait
    0.57
    boxes
    0.55
    Activations Density 0.017%

    No Known Activations