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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. 0-RES-JB
    11. 10376
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to competition and comparatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ka
    -0.71
     MU
    -0.70
     rite
    -0.69
    outh
    -0.67
     Mad
    -0.64
     nail
    -0.64
     awakening
    -0.64
    OND
    -0.64
     sighting
    -0.63
     breakout
    -0.63
    POSITIVE LOGITS
    comp
    3.87
    Comp
    2.26
     Comp
    1.69
     comp
    1.50
     recomp
    1.48
     COMP
    1.34
    competitive
    1.27
    compatible
    1.22
    cont
    1.21
     decomp
    1.20
    Activations Density 0.007%

    No Known Activations