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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. 0-RES-JB
    11. 7547
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    Explanations

    academic references in a specific format ("et al.") in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to academic citations or attributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPPStreamerBot
    -0.68
    cipline
    -0.63
    priority
    -0.63
    roach
    -0.61
    swing
    -0.61
    lights
    -0.61
     loyalty
    -0.60
    andals
    -0.59
    inates
    -0.59
    less
    -0.58
    POSITIVE LOGITS
     et
    3.79
     Et
    1.40
     qui
    1.23
     etc
    1.17
     supra
    1.00
     ET
    0.94
     les
    0.92
    etc
    0.90
     ect
    0.86
     Epidem
    0.84
    Activations Density 0.011%

    No Known Activations