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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15604
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    Explanations

    proper nouns, such as names of locations and people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically locations and their associated attributes

    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
    lihood
    -0.79
    ::::::::
    -0.72
    pire
    -0.67
    inav
    -0.65
    insk
    -0.65
    cean
    -0.64
    perse
    -0.64
    amia
    -0.63
    chwitz
    -0.63
    advertisement
    -0.63
    POSITIVE LOGITS
     Mayor
    1.40
     residents
    1.28
     officials
    1.21
     lawmakers
    1.13
     politicians
    1.12
     voters
    1.10
     authorities
    1.10
     mayor
    1.09
     resident
    1.06
     mayors
    1.06
    Activations Density 0.266%

    No Known Activations