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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. 9854
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    Explanations

    words related to rotary or spinning objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of peppers and their culinary uses

    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
    ADRA
    -0.84
     citiz
    -0.77
     seiz
    -0.70
     conflic
    -0.64
     Tsukuyomi
    -0.61
     newcom
    -0.60
     Empires
    -0.59
     conclud
    -0.59
     tremend
    -0.58
     challeng
    -0.57
    POSITIVE LOGITS
    hare
    0.77
    velt
    0.76
    baugh
    0.76
    doms
    0.75
    creen
    0.74
    atra
    0.74
    mint
    0.73
    olicy
    0.70
    Redditor
    0.70
    orce
    0.69
    Activations Density 0.228%

    No Known Activations