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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10567
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    Explanations

    mentions of U.S. Representatives

    oai_token-act-pair · gpt-3.5-turbo

    references to members of the House of Representatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phal
    -0.80
    istically
    -0.78
    ahime
    -0.71
     Brist
    -0.69
     factor
    -0.64
    zsche
    -0.64
     Spit
    -0.61
     factors
    -0.60
     Dwar
    -0.60
     Britann
    -0.58
    POSITIVE LOGITS
    orters
    1.30
    rint
    1.20
    ository
    1.17
    orter
    1.17
    ositories
    1.15
    utation
    1.13
    ublic
    1.11
    orted
    1.10
    rieve
    1.08
    atri
    1.02
    Activations Density 0.018%

    No Known Activations