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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. 2-RES-JB
    11. 5394
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    Explanations

    phrases related to the environment - both in terms of physical settings and contexts as well as general surroundings or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "environment."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mad
    -0.83
    sonian
    -0.83
    thood
    -0.81
    headed
    -0.80
    uster
    -0.76
    doms
    -0.76
    oku
    -0.75
    ilts
    -0.75
    oning
    -0.74
    dom
    -0.73
    POSITIVE LOGITS
     environment
    1.17
     Environment
    1.13
     environments
    1.07
     conditions
    0.82
     enrichment
    0.79
     variables
    0.78
    Environment
    0.76
    ttes
    0.75
    environment
    0.74
     contexts
    0.72
    Activations Density 0.015%

    No Known Activations