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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. 2-RES-JB
    11. 11586
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    Explanations

    dates and times in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas, indicating lists or separations in dates and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atically
    -0.69
    urally
    -0.66
    grain
    -0.64
    irection
    -0.64
     uncanny
    -0.63
    ictionary
    -0.62
    onym
    -0.60
     oxide
    -0.60
    ãĥ¥
    -0.59
    orph
    -0.59
    POSITIVE LOGITS
     citing
    0.82
    000
    0.72
     huh
    0.69
     respectively
    0.68
     Fla
    0.65
    SPONSORED
    0.65
     although
    0.65
     Samoa
    0.64
     Seas
    0.61
     however
    0.60
    Activations Density 1.040%

    No Known Activations