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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. 4-RES-JB
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    Explanations

    references to the number 180

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific numerical values, particularly in the context of temperatures or measurements

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

    No Comments

    Negative Logits
    bid
    -0.84
    hower
    -0.81
    hood
    -0.79
    ensional
    -0.77
    scape
    -0.76
    book
    -0.75
    phone
    -0.74
    puter
    -0.74
    etary
    -0.73
    icism
    -0.73
    POSITIVE LOGITS
    mph
    0.77
     ILCS
    0.77
     pounds
    0.76
    lbs
    0.75
     lbs
    0.75
     degrees
    0.74
    453
    0.69
     mph
    0.69
     kilograms
    0.68
    211
    0.67
    Activations Density 0.019%

    No Known Activations