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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. 3-RES-JB
    11. 20748
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    Explanations

    references to individuals who have graduated from a specific academic program

    oai_token-act-pair · gpt-3.5-turbo

    references to graduate students and executives in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gin
    -0.75
    Ò
    -0.70
     Lith
    -0.70
    Dialogue
    -0.70
     Breat
    -0.70
     Cheong
    -0.69
     Smoking
    -0.68
    âĦ¢:
    -0.68
     Feast
    -0.66
    arta
    -0.65
    POSITIVE LOGITS
    er
    0.97
    rats
    0.91
    rador
    0.87
    lisher
    0.80
    s
    0.79
    rals
    0.77
    ials
    0.76
    uncle
    0.74
    ers
    0.74
    romeda
    0.73
    Activations Density 0.025%

    No Known Activations