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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. 6-RES-JB
    11. 7700
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    Explanations

    phrases or words related to correspondence or matching

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss correspondence or alignment between concepts or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ghazi
    -0.73
    uv
    -0.72
    agin
    -0.71
    asted
    -0.69
    oufl
    -0.67
    cloth
    -0.67
    asts
    -0.65
    ntil
    -0.64
    dfx
    -0.64
    redo
    -0.64
    POSITIVE LOGITS
    ingly
    0.91
    ificantly
    0.87
    dayName
    0.85
    ences
    0.80
    ette
    0.75
    hip
    0.73
    ians
    0.73
    MpServer
    0.70
    º
    0.70
    ioned
    0.70
    Activations Density 0.023%

    No Known Activations