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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. 16524
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    Explanations

    phrases related to legislative actions or committee responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks

    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
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    No Comments

    Negative Logits
    enegger
    -0.65
    ãĤ¹ãĥĪ
    -0.65
    opian
    -0.61
    imore
    -0.58
     academ
    -0.58
    jah
    -0.56
    awi
    -0.55
    bourg
    -0.55
     Sabha
    -0.54
    ahime
    -0.54
    POSITIVE LOGITS
     Lovecraft
    0.94
    ongyang
    0.80
    ERSON
    0.78
    ĵĺ
    0.74
    Cola
    0.70
     Howell
    0.69
    essor
    0.66
     Carey
    0.66
    ivot
    0.64
    iddy
    0.63
    Activations Density 0.034%

    No Known Activations