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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. 1-RES-JB
    11. 6606
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    INDEX
    Explanations

    phrases related to physical bases or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to military or strategic locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.76
    icut
    -0.75
    sen
    -0.69
    oping
    -0.65
    lihood
    -0.64
    oner
    -0.63
    andro
    -0.62
    chen
    -0.62
    uncture
    -0.61
    Interstitial
    -0.61
    POSITIVE LOGITS
     bases
    1.11
    chwitz
    0.83
     bas
    0.80
     glim
    0.76
    camp
    0.75
     expansions
    0.74
    selage
    0.73
    querque
    0.71
     stationed
    0.69
    sembly
    0.69
    Activations Density 0.006%

    No Known Activations