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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. 14063
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    Explanations

    locations or establishments

    oai_token-act-pair · gpt-3.5-turbo

    words related to construction or establishment

    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
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    Negative Logits
    adra
    -0.75
    orkshire
    -0.75
    uppet
    -0.72
    ede
    -0.71
    ocobo
    -0.71
     coli
    -0.65
    endi
    -0.64
    oother
    -0.64
    oddy
    -0.64
    perty
    -0.63
    POSITIVE LOGITS
     aback
    0.77
    quartered
    0.76
     Influ
    0.72
    ãĥ©ãĥ³
    0.70
     Laun
    0.70
     Serving
    0.70
    icularly
    0.70
     Packs
    0.69
     theorist
    0.68
     Together
    0.68
    Activations Density 0.191%

    No Known Activations