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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. 4-RES-JB
    6. 4768
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to planetary science

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

    No Comments

    Negative Logits
    edin
    -0.94
    linger
    -0.90
    esty
    -0.90
    gers
    -0.89
    rats
    -0.86
    geries
    -0.85
    yang
    -0.80
    enment
    -0.80
    ged
    -0.79
    yre
    -0.79
    POSITIVE LOGITS
     planetary
    0.90
     colonization
    0.87
    etary
    0.86
    Ħ¢
    0.83
     missions
    0.75
     distress
    0.75
     abduction
    0.75
     warfare
    0.73
     fisheries
    0.71
     eclipse
    0.71
    Activations Density 0.012%

    No Known Activations