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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. 2-RES-JB
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    Explanations

    keywords related to farming, agriculture, and individuals associated with farming activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Farmer" and variations related to farming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilings
    -0.90
    esting
    -0.83
    gettable
    -0.75
    ifice
    -0.74
    umbn
    -0.73
    eals
    -0.72
    ENA
    -0.68
    atography
    -0.68
    pter
    -0.68
    emb
    -0.67
    POSITIVE LOGITS
     farmer
    1.17
     Farmer
    1.10
     tractor
    0.91
     farmers
    0.90
    grass
    0.86
    stown
    0.81
    lein
    0.80
     labou
    0.77
     peasant
    0.74
     cultiv
    0.72
    Activations Density 0.011%

    No Known Activations