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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. 3-RES-JB
    11. 8906
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    Explanations

    references to racetracks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to racing or racetrack contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fargo
    -0.81
    è£ħ
    -0.75
     Marketable
    -0.74
    ¿½
    -0.71
    utterstock
    -0.69
     Kore
    -0.68
     Occupy
    -0.67
     Ceres
    -0.66
     Kush
    -0.66
     Mutual
    -0.65
    POSITIVE LOGITS
    coon
    1.27
    quet
    1.25
    etr
    1.14
     rac
    1.11
    oust
    1.00
    anth
    0.93
    ework
    0.92
    het
    0.90
    eway
    0.90
    kees
    0.89
    Activations Density 0.007%

    No Known Activations