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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. 10-RES-JB
    6. 20074
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    Explanations

    phrases related to completion or achievement of tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential actions or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =~
    -0.62
    azel
    -0.61
     alike
    -0.59
    anything
    -0.59
     likewise
    -0.59
    both
    -0.58
    also
    -0.57
    etc
    -0.57
    auga
    -0.57
    robat
    -0.56
    POSITIVE LOGITS
     marginally
    0.95
     spor
    0.93
     insofar
    0.90
     ONE
    0.85
     fraction
    0.76
     peripher
    0.76
     temporarily
    0.74
     curs
    0.73
     fleeting
    0.70
     briefly
    0.69
    Activations Density 0.242%

    No Known Activations