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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. 9155
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    Explanations

    comparisons using the word "like"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "like"

    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
    ulty
    -0.87
    chin
    -0.84
    hiba
    -0.84
    inoa
    -0.77
    ourse
    -0.77
    Dispatch
    -0.76
    oard
    -0.74
    rax
    -0.73
    onte
    -0.73
    idates
    -0.71
    POSITIVE LOGITS
    lihood
    1.67
    lier
    1.02
    liest
    0.95
     ours
    0.94
     minded
    0.90
    minded
    0.90
    liness
    0.89
     wildfire
    0.80
     hers
    0.76
     yours
    0.73
    Activations Density 0.118%

    No Known Activations