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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. 3237
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    Explanations

    informational statements or questions prompting feedback and interaction in comments

    oai_token-act-pair · gpt-3.5-turbo

    questions that solicit opinions or feedback from the audience

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orage
    -0.67
     initialization
    -0.67
    Ļ½
    -0.65
    ufact
    -0.65
    pport
    -0.62
    olid
    -0.61
    ère
    -0.60
    umption
    -0.60
     Auschwitz
    -0.59
    bably
    -0.59
    POSITIVE LOGITS
    comments
    0.93
     Comment
    0.93
     Discuss
    0.87
     Email
    0.86
     Tweet
    0.83
     feedback
    0.81
    Share
    0.81
     Feedback
    0.81
    Comments
    0.80
     HuffPost
    0.79
    Activations Density 0.155%

    No Known Activations