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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. 10-RES-JB
    11. 12291
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    Explanations

    punctuation and conversational markers indicating dialogue or quotation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    non-verbal expressions and hesitations such as commas, quotation marks, hyphens, question marks, colons, and ellipses

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.88
    pired
    -0.62
    ibles
    -0.62
    itialized
    -0.59
    maid
    -0.56
     Rabbit
    -0.53
    ãĥīãĥ©
    -0.52
    izens
    -0.52
    çīĪ
    -0.52
    idas
    -0.51
    POSITIVE LOGITS
    but
    1.45
     but
    1.29
    because
    1.23
     whereas
    1.12
     although
    1.11
     because
    1.09
    although
    1.05
    unless
    1.02
    until
    0.99
    and
    0.97
    Activations Density 0.217%

    No Known Activations