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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. 3-RES-JB
    11. 20284
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    Explanations

    significant events, accomplishments, or important pieces of legislation

    oai_token-act-pair · gpt-3.5-turbo

    references to significant or noteworthy events, places, or pieces of legislation described as "landmark."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thia
    -0.88
    zona
    -0.78
    sis
    -0.76
    zie
    -0.75
    sei
    -0.70
    ora
    -0.70
    aved
    -0.70
    gans
    -0.70
    xit
    -0.69
    ater
    -0.69
    POSITIVE LOGITS
     landmark
    1.11
     landmarks
    0.84
    stones
    0.83
     breakthrough
    0.71
    PsyNetMessage
    0.69
    ĸļ
    0.68
     milestone
    0.66
    stone
    0.66
    bourg
    0.66
     glim
    0.65
    Activations Density 0.010%

    No Known Activations