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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. 5455
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    Explanations

    personal questions directed towards someone

    oai_token-act-pair · gpt-3.5-turbo

    second-person pronouns and their usage in questioning contexts

    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
    edIn
    -0.73
    igor
    -0.71
    ufact
    -0.69
    accompan
    -0.65
    itiz
    -0.63
     Giul
    -0.63
    opens
    -0.62
     Integrity
    -0.62
     Continued
    -0.59
    ersed
    -0.58
    POSITIVE LOGITS
     intend
    1.29
     recognise
    1.19
     realise
    1.16
     owe
    1.16
     deserve
    1.16
     belong
    1.14
     anticipate
    1.14
     mean
    1.10
     realize
    1.08
     recognize
    1.08
    Activations Density 0.100%

    No Known Activations