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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. 18016
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    Explanations

    references to libraries or librarian-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words associated with libraries and pharmaceutical contexts

    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
    NetMessage
    -0.83
    holder
    -0.68
    DS
    -0.67
    IX
    -0.65
    cers
    -0.62
     Pearce
    -0.61
    WAYS
    -0.59
     Defenders
    -0.59
    ------------
    -0.58
    holders
    -0.57
    POSITIVE LOGITS
    acy
    1.12
    alse
    1.10
    ally
    1.06
    atile
    1.04
    mallow
    1.04
    iculture
    1.02
    ationally
    1.01
    acist
    1.01
    alling
    1.01
    atility
    0.97
    Activations Density 0.152%

    No Known Activations