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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. 10-RES-JB
    11. 7296
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    INDEX
    Explanations

    mentions of statements made by public figures

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various tenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¯
    -0.71
    llular
    -0.66
     Fail
    -0.61
    acly
    -0.61
     Gap
    -0.61
    Fail
    -0.60
    inav
    -0.60
     prest
    -0.60
    ership
    -0.58
     Topics
    -0.57
    POSITIVE LOGITS
     glad
    1.20
     unaware
    1.19
     pleased
    1.18
     disappointed
    1.15
     appalled
    1.14
     grateful
    1.12
     surprised
    1.11
     ashamed
    1.10
     aware
    1.10
     saddened
    1.10
    Activations Density 0.143%

    No Known Activations