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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. 17860
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    INDEX
    Explanations

    phrases related to indoor and outdoor locations

    oai_token-act-pair · gpt-3.5-turbo

    references to outdoor and indoor environments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ellation
    -0.74
     artery
    -0.66
    gments
    -0.63
    nce
    -0.62
     idol
    -0.62
     reasons
    -0.61
    TY
    -0.59
    ottage
    -0.59
     Fiat
    -0.58
    etus
    -0.58
    POSITIVE LOGITS
     indoors
    1.12
    creen
    1.00
     outdoors
    0.97
    ModLoader
    0.87
    ourcing
    0.86
    xual
    0.81
    chool
    0.81
    ï¸
    0.81
    pan
    0.81
    edIn
    0.80
    Activations Density 0.014%

    No Known Activations