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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. 9-RES-JB
    11. 21190
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    Explanations

    keywords related to landscapes and photography

    oai_token-act-pair · gpt-3.5-turbo

    mentions of landscapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.99
    ibo
    -0.87
    unker
    -0.80
    ishable
    -0.75
    rone
    -0.73
    aban
    -0.73
    bara
    -0.72
    conn
    -0.72
    conduct
    -0.72
    ilee
    -0.70
    POSITIVE LOGITS
    MAP
    0.94
    scape
    0.93
     landscapes
    0.80
     vegetation
    0.79
     backdrop
    0.78
    ttes
    0.76
     scenery
    0.75
     Rover
    0.73
     architect
    0.73
     paintings
    0.73
    Activations Density 0.082%

    No Known Activations