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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. 3-RES-JB
    11. 5458
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    Explanations

    California-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to California and its residents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.72
    ffer
    -0.69
     breath
    -0.68
    lde
    -0.68
    lda
    -0.68
     pity
    -0.65
    tsky
    -0.62
     guide
    -0.62
     speech
    -0.61
    ueller
    -0.60
    POSITIVE LOGITS
    ians
    1.07
    ian
    0.90
    icol
    0.89
    enos
    0.85
    arians
    0.85
    ication
    0.83
    icals
    0.82
    iam
    0.82
    terness
    0.82
    ellig
    0.81
    Activations Density 0.024%

    No Known Activations