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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. 21543
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    INDEX
    Explanations

    the phrase "have a"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "a"

    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
    Features
    -0.70
    Links
    -0.69
    Os
    -0.69
     distances
    -0.68
     sums
    -0.67
    peed
    -0.65
     maneuvers
    -0.64
    UF
    -0.64
    UC
    -0.63
    Init
    -0.63
    POSITIVE LOGITS
     chance
    1.16
    chance
    0.96
     blast
    0.92
     clue
    0.87
     knack
    0.83
     nice
    0.81
     vested
    0.81
     conversation
    0.80
     chuckle
    0.79
    hold
    0.77
    Activations Density 0.112%

    No Known Activations