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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. 9-RES-JB
    11. 6969
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    Explanations

    descriptions of something being completely filled or occupied

    oai_token-act-pair · gpt-3.5-turbo

    the word "full" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Type of contents
    Full of

    No Comments

    Negative Logits
    enegger
    -0.70
    NOR
    -0.66
    abad
    -0.64
    POSE
    -0.61
    estamp
    -0.55
    ãĤ±
    -0.55
    20439
    -0.55
    ETA
    -0.54
    pher
    -0.54
    vernment
    -0.53
    POSITIVE LOGITS
     of
    0.80
    grown
    0.79
    filled
    0.75
    swing
    0.73
    heartedly
    0.71
     ripe
    0.69
    spring
    0.69
    anding
    0.68
    igators
    0.65
    fledged
    0.65
    Activations Density 0.075%

    No Known Activations