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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. 17652
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    INDEX
    Explanations

    quantitative comparisons

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to counts or comparisons

    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
    IAS
    -0.70
    VOL
    -0.69
    Parameter
    -0.67
    actionDate
    -0.65
    eston
    -0.65
    LCS
    -0.64
    igslist
    -0.64
    aths
    -0.62
    videos
    -0.62
    photos
    -0.62
    POSITIVE LOGITS
     hundred
    1.48
     thirds
    1.44
     thousand
    1.32
     dozen
    1.20
     tenth
    1.13
    teenth
    1.09
    thirds
    1.06
     quarters
    1.01
     Hundred
    0.98
     million
    0.97
    Activations Density 0.182%

    No Known Activations