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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. 2-RES-JB
    6. 19
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    Explanations

    words related to railroad tracks

    oai_token-act-pair · gpt-3.5-turbo

    references to railway tracks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "tracks"

    oai_token-act-pair · gpt-4-turbo
    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
    ALLY
    -0.65
     International
    -0.61
     Islanders
    -0.61
     Iro
    -0.60
     Marlins
    -0.59
     Kinnikuman
    -0.59
     Cos
    -0.59
     Blizz
    -0.59
    aples
    -0.58
     Mi
    -0.57
    POSITIVE LOGITS
     tracks
    1.35
     Tracks
    1.22
    tracks
    1.11
    heet
    1.05
    track
    0.95
    pace
    0.89
    schild
    0.86
    geist
    0.85
     track
    0.84
    cape
    0.81
    Activations Density 0.010%

    No Known Activations