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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. 22697
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    Explanations

    dates or ages mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to age

    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
    ãĤ´ãĥ³
    -0.70
     coord
    -0.69
    ILA
    -0.66
    SN
    -0.65
    ãĥķ
    -0.64
     DRAG
    -0.62
    argon
    -0.62
    gency
    -0.62
    DOWN
    -0.61
     COURT
    -0.61
    POSITIVE LOGITS
    enough
    0.79
     enough
    0.75
    minimum
    0.73
     adults
    0.68
    years
    0.68
    school
    0.67
     apiece
    0.67
     today
    0.66
    stones
    0.65
    debian
    0.65
    Activations Density 0.025%

    No Known Activations