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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. 13811
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    Explanations

    descriptions or summaries related to various content or topics

    oai_token-act-pair · gpt-3.5-turbo

    references to summaries, snapshots, and breakdowns of information

    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
    lees
    -0.79
    士
    -0.78
    Thom
    -0.71
    aults
    -0.69
     Traps
    -0.68
    esters
    -0.68
    ammers
    -0.67
    gers
    -0.65
    BuyableInstoreAndOnline
    -0.62
     Defendants
    -0.62
    POSITIVE LOGITS
     illustrating
    1.22
     excerpt
    1.10
     rundown
    1.07
     overview
    1.01
     synopsis
    0.99
     summary
    0.96
     snippet
    0.93
     breakdown
    0.93
    :-
    0.92
    :(
    0.92
    Activations Density 0.204%

    No Known Activations