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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. 23783
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    Explanations

    activations related to financial terms, specifically "chequer" or "exchequer"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "che."

    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
    INGTON
    -0.71
    iating
    -0.71
    iants
    -0.66
     glim
    -0.66
    ECT
    -0.65
     Archdemon
    -0.63
    thinkable
    -0.63
    iates
    -0.63
     indecent
    -0.62
     stocking
    -0.62
    POSITIVE LOGITS
    tta
    1.06
    tto
    1.05
    lde
    1.04
    apeake
    1.03
    fter
    0.98
    tt
    0.95
    chet
    0.94
    bones
    0.92
    lla
    0.91
    ards
    0.91
    Activations Density 0.020%

    No Known Activations