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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. 3249
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    Explanations

    specific time references

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions indicating a time reference

    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
    agin
    -0.77
    ictive
    -0.71
    harm
    -0.68
    edly
    -0.68
    athom
    -0.65
    omers
    -0.64
    Bas
    -0.63
    gem
    -0.62
    rolet
    -0.62
    species
    -0.61
    POSITIVE LOGITS
    soever
    1.32
    */(
    0.84
    irlf
    0.82
     confronted
    0.78
     pressed
    0.75
     faced
    0.74
    quickShipAvailable
    0.70
     asked
    0.69
    abouts
    0.69
    UES
    0.69
    Activations Density 0.132%

    No Known Activations