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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. 8-RES-JB
    11. 529
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    INDEX
    Explanations

    locations or distances mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating distance or proximity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bye
    -0.68
    kind
    -0.65
    nce
    -0.62
    Attribute
    -0.62
    GM
    -0.62
    imir
    -0.62
    uv
    -0.62
    uala
    -0.61
    ahime
    -0.61
    Keys
    -0.59
    POSITIVE LOGITS
    aneously
    0.78
    sighted
    0.77
    lier
    0.71
     earthqu
    0.71
    OTAL
    0.62
     nearest
    0.62
     geographically
    0.62
     closest
    0.61
    fetched
    0.59
     landfall
    0.59
    Activations Density 0.063%

    No Known Activations