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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. 11-RES-JB
    11. 12677
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    INDEX
    Explanations

    phrases related to specific locations within a building

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itative
    -0.71
    aic
    -0.70
    typically
    -0.68
    often
    -0.66
    laim
    -0.66
    worn
    -0.65
    generated
    -0.65
     Johann
    -0.65
    enance
    -0.63
    ãĥĸ
    -0.63
    POSITIVE LOGITS
     fuckin
    1.28
     fucking
    1.22
     goddamn
    1.21
     house
    1.15
     damn
    1.13
     fridge
    1.06
     godd
    1.05
     shit
    0.99
     fuck
    0.98
     bathroom
    0.97
    Activations Density 0.343%

    No Known Activations