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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. 1-RES-JB
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    Explanations

    words related to transportation, specifically the word "tram"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tram" and its variations

    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
    FontSize
    -0.65
    hots
    -0.64
    pring
    -0.64
     Goals
    -0.61
     Cyprus
    -0.60
     Canary
    -0.59
     Staten
    -0.59
    Friend
    -0.58
    aver
    -0.58
     Madison
    -0.58
    POSITIVE LOGITS
    pling
    1.33
    pled
    1.13
     tram
    1.09
    bley
    0.96
    irez
    0.95
    plings
    0.92
    ãĥ¥
    0.88
    pler
    0.86
    itual
    0.83
    ãĤª
    0.83
    Activations Density 0.006%

    No Known Activations