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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. 7-RES-JB
    11. 3793
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fried
    -0.64
    ĺħ
    -0.64
    OGR
    -0.64
    OME
    -0.62
     understatement
    -0.60
    ¬¼
    -0.60
    atory
    -0.59
    plot
    -0.59
    eston
    -0.59
    send
    -0.59
    POSITIVE LOGITS
     PDT
    0.69
     partName
    0.65
    when
    0.63
     Accessed
    0.63
     PST
    0.62
    ramid
    0.61
     EDT
    0.61
     onwards
    0.59
    Reviewer
    0.58
     Seat
    0.58
    Activations Density 0.090%

    No Known Activations