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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. 3502
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    Explanations

    number sequences within text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific versions of the Android operating system

    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
    heit
    -0.78
     showc
    -0.71
     Howe
    -0.67
    anchester
    -0.67
     Dirk
    -0.63
    cius
    -0.62
     forth
    -0.61
     Medina
    -0.61
     glances
    -0.60
     totality
    -0.58
    POSITIVE LOGITS
    fif
    0.84
    Ïī
    0.82
    ×ŀ
    0.75
    poons
    0.73
    adapt
    0.69
    Ö
    0.68
    \-
    0.68
    merce
    0.68
    Ī
    0.68
    square
    0.68
    Activations Density 0.158%

    No Known Activations