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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. 10729
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    INDEX
    Explanations

    phrases that suggest a potential benefit or outcome

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

    phrases indicating something leading to a specific outcome

    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
    soever
    -0.70
    phia
    -0.63
    alty
    -0.63
     underwent
    -0.62
     Steps
    -0.60
     Practices
    -0.58
    LY
    -0.57
     Sloan
    -0.56
     Notting
    -0.56
     Ples
    -0.56
    POSITIVE LOGITS
    geries
    0.90
    bidden
    0.76
    asty
    0.74
    imum
    0.67
    gery
    0.65
    culus
    0.65
    ê
    0.65
    izo
    0.65
    ument
    0.65
     easier
    0.65
    Activations Density 0.051%

    No Known Activations