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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. 8-RES-JB
    11. 12448
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    Explanations

    prepositional phrases indicating a solution to a problem or question

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing solutions or answers to questions and problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estial
    -0.77
    ared
    -0.74
    Prim
    -0.73
    rack
    -0.72
    Benef
    -0.68
    ports
    -0.67
    aun
    -0.67
    rals
    -0.67
    soever
    -0.67
    neau
    -0.66
    POSITIVE LOGITS
     puzzle
    0.83
     solve
    0.79
     satisfy
    0.77
     solving
    0.75
     resolving
    0.74
     resolve
    0.74
     problems
    0.73
     questions
    0.73
     longstanding
    0.73
     fixing
    0.72
    Activations Density 0.130%

    No Known Activations