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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. 2-RES-JB
    11. 11373
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    Explanations

    words related to languages, locations, and names

    oai_token-act-pair · gpt-3.5-turbo

    names or references to specific people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    mosp
    -0.81
    ignty
    -0.81
    bugs
    -0.75
    ktop
    -0.72
    ledge
    -0.71
    terday
    -0.70
    igned
    -0.64
    length
    -0.63
    lock
    -0.63
    lees
    -0.62
    POSITIVE LOGITS
    rador
    0.86
    ingo
    0.83
    ratulations
    0.77
    oda
    0.77
     Soup
    0.73
    regation
    0.72
    oths
    0.71
    yrinth
    0.69
    ovember
    0.68
    othy
    0.68
    Activations Density 0.026%

    No Known Activations