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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. 3-RES-JB
    11. 22846
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    Explanations

    terms related to travel and transportation, specifically focusing on air travel

    oai_token-act-pair · gpt-3.5-turbo

    references to air travel and related infrastructures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Cole
    -0.66
    AppData
    -0.63
    agonist
    -0.63
    lishes
    -0.63
    ciples
    -0.61
    MAC
    -0.59
    incial
    -0.59
    $$$$
    -0.59
    lez
    -0.58
     Witcher
    -0.58
    POSITIVE LOGITS
     destro
    0.81
    ioxide
    0.77
    anwhile
    0.75
    imeters
    0.74
    agos
    0.71
     GOODMAN
    0.67
     toilets
    0.66
    orld
    0.65
     diving
    0.65
    idon
    0.63
    Activations Density 0.372%

    No Known Activations