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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. 8-RES-JB
    11. 4112
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    Explanations

    historical references or terms

    oai_token-act-pair · gpt-3.5-turbo

    references to historical figures or subject matter

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    backer
    -0.69
     schooling
    -0.65
    BACK
    -0.64
     FCC
    -0.61
     Wonderland
    -0.61
     kneeling
    -0.60
     downhill
    -0.60
     Leilan
    -0.60
     thumbs
    -0.60
     Todd
    -0.59
    POSITIVE LOGITS
    orical
    1.76
    orically
    1.72
    oric
    1.48
    orians
    1.36
    orian
    1.34
    orie
    1.23
    ogram
    1.19
    oire
    1.17
    oria
    1.16
    adr
    1.15
    Activations Density 0.039%

    No Known Activations