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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. 7-RES-JB
    11. 23459
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    Explanations

    numerical values in a structured format, particularly those related to measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and metrics related to data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bureaucr
    -0.60
     conce
    -0.59
    Recomm
    -0.53
     objection
    -0.53
     Salvation
    -0.51
     SCH
    -0.50
     Sher
    -0.50
    compan
    -0.49
     corpor
    -0.48
     SOC
    -0.48
    POSITIVE LOGITS
    milo
    0.81
    adeon
    0.74
    rican
    0.65
    pring
    0.64
    braska
    0.64
    umenthal
    0.64
    anye
    0.63
    anwhile
    0.62
    ifice
    0.62
    ulic
    0.61
    Activations Density 0.440%

    No Known Activations