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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. 927
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    INDEX
    Explanations

    mentions of names and titles

    oai_token-act-pair · gpt-3.5-turbo

    repeated sequences of letters or syllables, particularly those that could represent names or terms

    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
     trad
    -0.68
     disposable
    -0.66
     epis
    -0.65
     deduct
    -0.62
     coding
    -0.61
     CBI
    -0.61
     caps
    -0.61
     conditional
    -0.61
     holidays
    -0.61
     quizz
    -0.60
    POSITIVE LOGITS
    orst
    1.28
    midt
    1.18
    reath
    1.13
    ollen
    1.13
    arten
    1.12
    orp
    1.11
    ocker
    1.11
    ahn
    1.10
    atten
    1.09
    tein
    1.08
    Activations Density 0.111%

    No Known Activations