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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. 9-RES-JB
    11. 19917
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    Explanations

    references to a specific publication (New York Times newsletters)

    oai_token-act-pair · gpt-3.5-turbo

    references to the New York Times and its newsletters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tatt
    -0.69
    mble
    -0.68
    abase
    -0.66
    inker
    -0.62
     extraord
    -0.61
    ulz
    -0.60
     fame
    -0.60
     corps
    -0.59
     groom
    -0.59
     spear
    -0.58
    POSITIVE LOGITS
    isodes
    0.79
    autions
    0.75
     Terms
    0.72
     newsletters
    0.67
    ãĥĥãĥī
    0.66
    Ñĥ
    0.64
     Contents
    0.64
    ussions
    0.63
     transcripts
    0.62
     Revised
    0.62
    Activations Density 0.022%

    No Known Activations