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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. 1-RES-JB
    11. 2353
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    Explanations

    specific text related to various types of environments, including physical, competitive, tough, controlled, and offshore environments

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enough
    -0.75
    BN
    -0.75
    claim
    -0.74
    dule
    -0.74
    vous
    -0.73
    apo
    -0.71
    FIN
    -0.70
    nex
    -0.70
    Leader
    -0.70
    Georg
    -0.70
    POSITIVE LOGITS
     environments
    1.36
     atmosp
    1.09
     contexts
    0.99
     configurations
    0.95
    hops
    0.91
     setups
    0.91
     landscapes
    0.91
     climates
    0.89
    creen
    0.87
    vironments
    0.87
    Activations Density 0.017%

    No Known Activations