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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. 1-RES-JB
    11. 6490
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    Explanations

    words related to competitive sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting finals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tesy
    -0.79
    hart
    -0.72
    ravings
    -0.69
    rian
    -0.68
    alities
    -0.68
    gun
    -0.67
    reb
    -0.64
    then
    -0.64
    asel
    -0.63
    :/
    -0.61
    POSITIVE LOGITS
     finals
    1.28
     Finals
    1.13
     millenn
    1.01
     semifinals
    0.87
    finals
    0.84
     Countdown
    0.81
     rematch
    0.80
     tournament
    0.79
    byss
    0.79
    iership
    0.79
    Activations Density 0.004%

    No Known Activations