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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. 1582
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    Explanations

    phrases related to trying to understand a situation or event

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating uncertainty or inquiry about ongoing situations

    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
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    No Comments

    Negative Logits
    aments
    -0.70
    ament
    -0.66
    aires
    -0.58
    essor
    -0.58
    urdy
    -0.56
     FTA
    -0.55
    ials
    -0.55
     Zac
    -0.55
     Entry
    -0.54
    vale
    -0.53
    POSITIVE LOGITS
     happening
    0.89
     wrong
    0.78
     viral
    0.78
    ggle
    0.76
    bang
    0.76
     happen
    0.75
    ãĥ£
    0.70
     behind
    0.68
     aft
    0.68
     unnoticed
    0.67
    Activations Density 0.044%

    No Known Activations