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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. 2337
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    Explanations

    topics related to the color green or environmentally friendly concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to environmentally sustainable practices and green initiatives

    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
    nces
    -0.73
    gerald
    -0.70
    Reloaded
    -0.68
    orically
    -0.65
     Wasserman
    -0.65
     weap
    -0.60
    ysis
    -0.59
     Tycoon
    -0.59
     Gorge
    -0.58
     artific
    -0.58
    POSITIVE LOGITS
    grass
    1.16
    houses
    1.06
    washing
    1.00
    stuff
    0.99
    house
    0.95
    lit
    0.93
    leaf
    0.93
    lighting
    0.89
    baum
    0.88
    peace
    0.87
    Activations Density 0.017%

    No Known Activations