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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. 7972
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    Explanations

    phrases indicating the best or most effective way to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions that suggest optimal methods or solutions

    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
    noxious
    -0.73
    ancies
    -0.71
    ymes
    -0.69
    ĸļ
    -0.69
    qus
    -0.66
    ritical
    -0.64
    zzy
    -0.62
    algia
    -0.62
    gian
    -0.61
     Shades
    -0.60
    POSITIVE LOGITS
     available
    0.90
     imaginable
    0.89
     for
    0.76
    escape
    0.72
     option
    0.70
     feasible
    0.65
     ever
    0.65
     envis
    0.65
     conceivable
    0.64
    ï
    0.63
    Activations Density 0.147%

    No Known Activations