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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. 9-RES-JB
    11. 15706
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    Explanations

    keywords related to the media

    oai_token-act-pair · gpt-3.5-turbo

    references to the media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pis
    -0.72
    vasive
    -0.70
    ranged
    -0.69
    ta
    -0.69
    combe
    -0.69
    sql
    -0.68
    oku
    -0.68
    0000000000000000
    -0.67
    İĭ
    -0.67
    cair
    -0.66
    POSITIVE LOGITS
    eval
    1.39
     outlets
    1.25
     outlet
    1.09
     coverage
    1.07
     mogul
    0.99
     circus
    0.96
     portrayal
    0.94
     pundits
    0.91
     mog
    0.91
     blackout
    0.89
    Activations Density 0.049%

    No Known Activations