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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. 5-RES-JB
    6. 23554
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    Explanations

    any words that include the sequence "iti" followed by a high activation value of 7 or more

    oai_token-act-pair · gpt-3.5-turbo

    terms related to a specific organization or place called "Citi"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dress
    -0.82
    layer
    -0.76
    stroke
    -0.74
    worthy
    -0.74
    stairs
    -0.73
    meyer
    -0.70
    lessness
    -0.64
    fully
    -0.63
    sworth
    -0.63
    scale
    -0.62
    POSITIVE LOGITS
    Äĩ
    1.18
    atives
    1.05
    iti
    0.99
    ña
    0.96
     Bike
    0.88
    emi
    0.84
    zed
    0.83
    ñ
    0.83
    uting
    0.83
    ative
    0.83
    Activations Density 0.015%

    No Known Activations