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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. 4-RES-JB
    11. 6027
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Ed" along with references to editing or editorial actions

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

    No Comments

    Negative Logits
     [&
    -0.78
    falls
    -0.76
    fall
    -0.72
     Scholar
    -0.70
    EStreamFrame
    -0.66
    SHIP
    -0.66
    lust
    -0.64
     ASP
    -0.62
    ATCH
    -0.61
    FTWARE
    -0.61
    POSITIVE LOGITS
    mund
    1.23
    monton
    1.20
    inburgh
    1.19
    ison
    1.15
    ition
    1.05
    ifice
    0.96
    monds
    0.91
    nesday
    0.90
    ict
    0.88
    ema
    0.87
    Activations Density 0.009%

    No Known Activations