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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. 19520
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    Explanations

    phrases related to ordering, inquiries, or instructions

    oai_token-act-pair · gpt-3.5-turbo

    segments that contain imaginative descriptions of creatures or beings

    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
    ?,
    -0.63
    dn
    -0.62
     respons
    -0.60
    _.
    -0.57
    xxxx
    -0.56
    emale
    -0.55
    omething
    -0.55
    .?
    -0.55
    stood
    -0.54
     "âĢ¦
    -0.53
    POSITIVE LOGITS
    zbollah
    0.75
     Expand
    0.72
    oÄŁan
    0.71
    chwitz
    0.67
    Streamer
    0.66
     Background
    0.64
    BILITIES
    0.64
     largeDownload
    0.64
    Berry
    0.62
    UTERS
    0.62
    Activations Density 0.329%

    No Known Activations