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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. 7-RES-JB
    11. 8683
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    Explanations

    words related to prefixes or suffixes such as "pre-", "post-", "-ment", "-ness", etc

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "image" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    staking
    -0.73
    sites
    -0.68
    odium
    -0.66
    thodox
    -0.66
    hing
    -0.66
    bidden
    -0.66
    borg
    -0.66
    ework
    -0.66
    agine
    -0.65
    lessly
    -0.65
    POSITIVE LOGITS
    entials
    0.73
     Rollins
    0.73
    ahoo
    0.72
    rosso
    0.71
     Dise
    0.71
    ppo
    0.70
    vernment
    0.70
     Britann
    0.69
     Awards
    0.67
    ige
    0.64
    Activations Density 0.060%

    No Known Activations