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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. 6-RES-JB
    11. 24535
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    Explanations

    items with increased quantities

    oai_token-act-pair · gpt-3.5-turbo

    quantitative phrases indicating increases or quantities greater than a baseline amount

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scand
    -0.65
    Rus
    -0.65
    english
    -0.65
     ãĤµ
    -0.64
    CAP
    -0.63
    cookie
    -0.61
     NCT
    -0.61
     Lent
    -0.60
     TEST
    -0.60
     Hamm
    -0.59
    POSITIVE LOGITS
    agonal
    0.81
    igree
    0.73
     simultaneous
    0.70
     consecutive
    0.68
     dstg
    0.67
     thereof
    0.67
    usters
    0.65
    inction
    0.65
     sidx
    0.64
     miles
    0.64
    Activations Density 0.028%

    No Known Activations