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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. 11-RES-JB
    11. 13323
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    Explanations

    numerical quantities or counts

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    >:
    -0.56
    ovan
    -0.55
    lik
    -0.54
    BOOK
    -0.53
    emonium
    -0.53
     attRot
    -0.52
    Äĩ
    -0.52
    sonian
    -0.52
    hap
    -0.52
     Nare
    -0.51
    POSITIVE LOGITS
     apiece
    0.93
     originating
    0.77
     totaling
    0.77
     representing
    0.74
     involving
    0.73
     excluding
    0.72
     each
    0.68
     were
    0.67
     males
    0.65
     shy
    0.65
    Activations Density 0.139%

    No Known Activations