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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. 954
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    Explanations

    mentions of contests or competitions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of contests and competitions

    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
    ths
    -0.83
     Gork
    -0.70
    ãĥĥãĥī
    -0.65
     strained
    -0.63
     Archangel
    -0.62
     Alz
    -0.61
    gap
    -0.61
    ford
    -0.60
    cedented
    -0.60
     pastoral
    -0.59
    POSITIVE LOGITS
     Winners
    1.12
     winners
    1.01
     contestant
    1.00
     prizes
    0.99
     organisers
    0.99
     winner
    0.97
     Tournament
    0.96
     contestants
    0.96
     entrants
    0.91
     organizers
    0.91
    Activations Density 0.095%

    No Known Activations