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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. 20971
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    Explanations

    phrases related to conclusions or lessons learned

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lessons learned or conclusions reached

    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
     pse
    -0.70
     indec
    -0.68
    onym
    -0.68
    ippery
    -0.67
    leep
    -0.65
    pert
    -0.64
    eper
    -0.63
    thumbnails
    -0.63
    utral
    -0.62
    PU
    -0.60
    POSITIVE LOGITS
    oslav
    0.88
    ocobo
    0.73
     Dhabi
    0.70
    enegger
    0.69
     Kling
    0.67
    Tex
    0.66
    itte
    0.65
    reciation
    0.65
    ËĪ
    0.63
    isf
    0.62
    Activations Density 0.000%

    No Known Activations