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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. 13245
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    Explanations

    information related to instructions or actions to be taken

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media interactions and updates

    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
     attRot
    -0.71
    ."
    -0.60
    !.
    -0.59
    .
    -0.58
    +.
    -0.58
    ".
    -0.57
    phasis
    -0.56
    perties
    -0.56
    Advertisement
    -0.56
    .","
    -0.56
    POSITIVE LOGITS
     Appalachian
    0.58
     Congressional
    0.55
     LCS
    0.54
     CES
    0.53
     Directory
    0.53
     USPS
    0.53
     Craigslist
    0.52
    DragonMagazine
    0.51
     Cosponsors
    0.51
    aples
    0.51
    Activations Density 1.167%

    No Known Activations