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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
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    Explanations

    mentions of weight measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of weight, particularly the term "pound."

    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
    etheus
    -0.86
    PsyNetMessage
    -0.86
     externalToEVAOnly
    -0.78
    OURCE
    -0.77
    anwhile
    -0.72
    mberg
    -0.69
    inav
    -0.68
    opsis
    -0.67
    çīĪ
    -0.67
     Municip
    -0.66
    POSITIVE LOGITS
     sterling
    1.32
    cake
    1.14
     Pound
    1.05
     pound
    1.02
     Sterling
    0.87
    cakes
    0.87
    pound
    0.86
    er
    0.85
    nuts
    0.84
    weight
    0.77
    Activations Density 0.019%

    No Known Activations