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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. 2-RES-JB
    11. 12328
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    Explanations

    references to film studios

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "studio" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.71
    nir
    -0.70
     refere
    -0.70
    wikipedia
    -0.69
    isms
    -0.66
     Adin
    -0.64
    pend
    -0.63
    tml
    -0.63
    nesses
    -0.62
    bh
    -0.61
    POSITIVE LOGITS
     studio
    1.13
     studios
    0.92
    hesda
    0.87
     mog
    0.80
    ctor
    0.78
     mogul
    0.77
    venant
    0.77
    ãĤ¸
    0.76
     apartment
    0.76
    camp
    0.75
    Activations Density 0.012%

    No Known Activations