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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. 0-RES-JB
    6. 5963
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    Explanations

    references to evidence or proof in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to evidence or proof in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    occ
    -0.81
    zinski
    -0.69
    roup
    -0.67
    ":["
    -0.65
     Osw
    -0.63
    atche
    -0.62
    ade
    -0.61
    rik
    -0.61
    ades
    -0.60
    imar
    -0.60
    POSITIVE LOGITS
     proof
    4.06
     Proof
    3.03
    Proof
    2.83
     proofs
    2.73
    proof
    2.69
     evidence
    1.77
    evidence
    1.64
     proving
    1.60
     evid
    1.41
     verification
    1.40
    Activations Density 0.005%

    No Known Activations