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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. 5234
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    Explanations

    words related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate actions of creation, preference, acknowledgment, or recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    abiding
    -0.82
    ãĥİ
    -0.78
    fortunately
    -0.77
    cember
    -0.77
    cffffcc
    -0.76
    aez
    -0.75
    ieve
    -0.73
    truth
    -0.73
    jah
    -0.72
    aciously
    -0.71
    POSITIVE LOGITS
     these
    0.96
     those
    0.90
     them
    0.89
     the
    0.88
     either
    0.88
     their
    0.86
     something
    0.78
     this
    0.77
     whichever
    0.77
     another
    0.76
    Activations Density 0.480%

    No Known Activations