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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. 4-RES-JB
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    Explanations

    locations or destinations where someone arrives

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "arrived at" along with the associated numeric time references

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

    No Comments

    Negative Logits
    cription
    -0.69
     Abuse
    -0.63
    rss
    -0.62
    hawks
    -0.62
     thirst
    -0.60
     neurot
    -0.59
    cribed
    -0.58
    fram
    -0.57
    iliate
    -0.56
     manipulation
    -0.56
    POSITIVE LOGITS
     shores
    0.81
     blows
    0.70
    orthy
    0.69
     fruition
    0.66
     reinforcements
    0.64
    estamp
    0.64
    ocobo
    0.63
     Rout
    0.63
    rocal
    0.63
    erville
    0.63
    Activations Density 0.086%

    No Known Activations