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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. 10-RES-JB
    11. 20508
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    INDEX
    Explanations

    numbers and statistics related to sports rankings and performance

    oai_token-act-pair · gpt-3.5-turbo

    numerical rankings and positions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avascript
    -0.63
     Scand
    -0.61
     Kik
    -0.60
     Cutter
    -0.58
     unleashed
    -0.57
    ifice
    -0.56
     swoop
    -0.56
     duct
    -0.54
    stretched
    -0.54
     Processing
    -0.54
    POSITIVE LOGITS
    th
    1.22
    nd
    1.07
    rd
    1.06
     wins
    0.99
     pts
    0.99
     points
    0.95
    teenth
    0.91
     victories
    0.87
    %-
    0.84
    st
    0.82
    Activations Density 0.097%

    No Known Activations