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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. 22713
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    Explanations

    references to institutions or organizations named "Temple."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Temple" and its various contexts or mentions

    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
    nesota
    -0.73
    erry
    -0.71
    ombies
    -0.70
    swing
    -0.68
    imil
    -0.67
    iewicz
    -0.65
    Population
    -0.64
    ublished
    -0.61
    atform
    -0.60
    ostics
    -0.60
    POSITIVE LOGITS
     Temple
    0.97
    tsky
    0.80
    ments
    0.80
    plates
    0.77
     Baal
    0.76
     Square
    0.75
    stein
    0.75
    inence
    0.74
    Stone
    0.74
    ple
    0.74
    Activations Density 0.008%

    No Known Activations