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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. 4-RES-JB
    11. 14859
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    Explanations

    phrases related to large groups of people or audiences

    oai_token-act-pair · gpt-3.5-turbo

    references to gatherings of people

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

    No Comments

    Negative Logits
    tein
    -0.75
    apple
    -0.70
    omic
    -0.67
    vell
    -0.66
    axter
    -0.64
     Deg
    -0.63
     Franch
    -0.63
    ces
    -0.63
    bard
    -0.60
     CASE
    -0.59
    POSITIVE LOGITS
    ourced
    1.09
    ourcing
    0.96
    naires
    0.86
    atics
    0.80
     gathered
    0.79
     cheering
    0.76
     gathers
    0.76
     crowd
    0.75
    funded
    0.74
     chanted
    0.74
    Activations Density 0.016%

    No Known Activations