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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. 3-RES-JB
    11. 21265
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    Explanations

    medical or scientific evidence supporting claims

    oai_token-act-pair · gpt-3.5-turbo

    mentions of evidence and its varying strengths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Evidence

    No Comments

    Negative Logits
     throats
    -0.76
    skill
    -0.72
     throat
    -0.64
    cer
    -0.64
    cise
    -0.63
    rosse
    -0.62
    jug
    -0.62
    otom
    -0.61
    miss
    -0.61
    quer
    -0.60
    POSITIVE LOGITS
     evidence
    1.00
    evidence
    0.99
     Evidence
    0.95
    Evidence
    0.92
    orial
    0.83
    fulness
    0.81
    edly
    0.78
    ative
    0.78
     evid
    0.78
     indicates
    0.77
    Activations Density 0.020%

    No Known Activations