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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. 7434
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    Explanations

    phrases related to recognition or being recognized

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recognize" and its variations

    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
     anecdotes
    -0.68
     DRAG
    -0.64
     bump
    -0.63
     setbacks
    -0.62
     bung
    -0.60
     autom
    -0.60
     sliding
    -0.60
     aeros
    -0.59
     Typhoon
    -0.59
     cameras
    -0.59
    POSITIVE LOGITS
    izable
    1.82
    isable
    1.73
    ition
    1.61
    izing
    1.47
    ising
    1.40
    isance
    1.40
    ized
    1.37
    izer
    1.35
    izers
    1.34
    iz
    1.33
    Activations Density 0.026%

    No Known Activations