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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. 16907
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    INDEX
    Explanations

    quantities related to weight or measurement in tons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to large quantities, particularly in tons

    oai_token-act-pair · gpt-3.5-turbo
    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
    gotten
    -0.75
    Journal
    -0.70
    Loop
    -0.69
    ournal
    -0.67
    issance
    -0.67
    Scotland
    -0.65
    Dub
    -0.65
    cknow
    -0.64
    yrinth
    -0.64
    Tokens
    -0.64
    POSITIVE LOGITS
     lbs
    0.90
    urgical
    0.89
     tons
    0.85
    umes
    0.81
     pounds
    0.80
    poons
    0.79
    ets
    0.78
    iles
    0.78
    ension
    0.77
    umatic
    0.76
    Activations Density 0.014%

    No Known Activations