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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. 7-RES-JB
    6. 24332
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    Explanations

    phrases related to urban infrastructure and environment

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and phrases related to infrastructure and environmental themes

    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
    ifice
    -0.66
    doms
    -0.57
    vez
    -0.57
     Flavoring
    -0.53
    livion
    -0.53
    estine
    -0.51
     Fn
    -0.51
    edy
    -0.51
    OHN
    -0.50
     attRot
    -0.50
    POSITIVE LOGITS
    htaking
    0.60
     whale
    0.59
     teasp
    0.56
     dolphin
    0.54
     eleph
    0.54
    cephal
    0.53
    atoon
    0.53
    atial
    0.52
     redes
    0.52
    works
    0.51
    Activations Density 1.119%

    No Known Activations