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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. 16778
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    INDEX
    Explanations

    phrases related to outdoor activities, specifically camping and picnicking

    oai_token-act-pair · gpt-3.5-turbo

    mentions of camping-related activities and terms

    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
    xual
    -0.77
    metics
    -0.76
    rity
    -0.70
    ifice
    -0.68
    achy
    -0.68
    uese
    -0.67
    tymology
    -0.65
    cert
    -0.65
    iments
    -0.65
    chid
    -0.64
    POSITIVE LOGITS
     camping
    1.13
     shelter
    0.84
     picnic
    0.84
     shelters
    0.83
     tents
    0.83
     encamp
    0.80
     camp
    0.78
     trips
    0.70
    apon
    0.69
     hiking
    0.69
    Activations Density 0.017%

    No Known Activations