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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. 7-RES-JB
    11. 5027
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    Explanations

    instances where someone is attempting something or a situation where something could have been avoided

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving uncertainty or questioning beliefs and assumptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essen
    -0.67
     Jou
    -0.66
    eger
    -0.66
    ikan
    -0.64
     Leban
    -0.63
     Hermes
    -0.62
     UR
    -0.61
     Dres
    -0.60
     sidx
    -0.60
    atel
    -0.59
    POSITIVE LOGITS
     ought
    0.76
     somehow
    0.74
     should
    0.73
     mattered
    0.72
    nce
    0.70
    might
    0.70
    should
    0.67
     deserved
    0.66
     matter
    0.64
     )))
    0.64
    Activations Density 0.377%

    No Known Activations