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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. 11-RES-JB
    11. 6345
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    Explanations

    words related to problem-solving and solutions

    oai_token-act-pair · gpt-3.5-turbo

    references to solving various problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ochet
    -0.89
    leans
    -0.77
    oult
    -0.73
    ept
    -0.68
    usha
    -0.68
    engers
    -0.65
    flix
    -0.64
    verts
    -0.64
    bos
    -0.64
    uces
    -0.64
    POSITIVE LOGITS
     problem
    1.58
     problems
    1.52
    problem
    1.47
     dilemma
    1.46
    Problem
    1.32
     Problems
    1.31
     Problem
    1.27
     issues
    1.25
     woes
    1.25
     proble
    1.24
    Activations Density 0.221%

    No Known Activations