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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. 19482
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    Explanations

    references to representatives or representatives in a political context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "reps" related to repetitions in various contexts

    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
    dar
    -0.75
    van
    -0.75
     civilisation
    -0.70
    alid
    -0.69
     mosaic
    -0.67
     traveller
    -0.66
    ingen
    -0.66
    nes
    -0.65
     Bor
    -0.65
     Vienna
    -0.64
    POSITIVE LOGITS
     reps
    3.78
     Reps
    2.42
     repet
    1.37
    RM
    1.20
     spokes
    1.10
     workouts
    1.02
     TDs
    1.02
    cers
    1.01
     exec
    0.96
     rehab
    0.96
    Activations Density 0.032%

    No Known Activations