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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. 11-RES-JB
    11. 14755
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    Explanations

    phrases related to Spider-Man and his storyline, especially involving significant events and characters

    oai_token-act-pair · gpt-3.5-turbo

    references to significant characters and events in comic book narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Balt
    -0.99
    ����
    -0.94
    rolet
    -0.90
     ����
    -0.90
     Ala
    -0.86
     ��������
    -0.84
     Balt
    -0.82
    AAF
    -0.81
    Fra
    -0.81
     Boost
    -0.79
    POSITIVE LOGITS
     Spider
    1.99
    Spider
    1.88
     Peter
    1.78
    Peter
    1.64
     Parker
    1.62
     spider
    1.58
     Venom
    1.47
     spiders
    1.46
     snakes
    1.35
     venom
    1.26
    Activations Density 0.226%

    No Known Activations