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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. 17833
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    Explanations

    keywords related to document organization and structure, such as "snapshot," "breakdown," and "recap."

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases that describe summaries or breakdowns of content

    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
    BuyableInstoreAndOnline
    -0.70
    ythm
    -0.63
     Hague
    -0.61
    ammers
    -0.60
    esters
    -0.60
    士
    -0.59
    aults
    -0.58
    ceptions
    -0.57
     Identity
    -0.56
     Limits
    -0.56
    POSITIVE LOGITS
     illustrating
    1.17
     excerpt
    0.92
     highlighting
    0.85
     rundown
    0.84
     showing
    0.83
     showcasing
    0.82
     outlining
    0.82
     detailing
    0.82
     illustration
    0.82
     courtesy
    0.81
    Activations Density 0.220%

    No Known Activations