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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. 7-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the United States

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Noir
    -0.71
     CPC
    -0.66
     Preferred
    -0.63
     cac
    -0.63
     hust
    -0.63
     ashore
    -0.62
     juggling
    -0.61
     jammed
    -0.61
     bottleneck
    -0.61
     bars
    -0.60
    POSITIVE LOGITS
    prising
    1.32
    nexpected
    1.19
    lyss
    1.19
    seless
    1.12
    topia
    1.05
    gly
    1.05
    NA
    1.01
    PDATED
    1.00
    pperc
    0.99
    VA
    0.95
    Activations Density 0.057%

    No Known Activations