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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1455
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    Explanations

    words related to locations or specific places, specifically gymnasiums

    oai_token-act-pair · gpt-3.5-turbo

    references to gymnasiums

    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
     snipp
    -0.69
     outgoing
    -0.67
     Mush
    -0.65
     Kore
    -0.65
     possessions
    -0.64
     seizures
    -0.63
     REPL
    -0.62
     Sunshine
    -0.62
     bitters
    -0.61
    theless
    -0.60
    POSITIVE LOGITS
    zu
    0.95
    ppo
    0.92
    nt
    0.84
    acus
    0.80
    xx
    0.79
    ci
    0.78
    ournals
    0.78
    vid
    0.77
    zona
    0.76
    idence
    0.75
    Activations Density 0.000%

    No Known Activations