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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. 9-RES-JB
    11. 1851
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    Explanations

    numerical quantities related to groups or collections of individuals

    oai_token-act-pair · gpt-3.5-turbo

    numerical references, particularly those denoting quantities or group sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     loophole
    -0.67
     grate
    -0.63
     gulf
    -0.62
     SECTION
    -0.61
     portion
    -0.60
    DIT
    -0.60
    henko
    -0.56
     Rampage
    -0.56
     ende
    -0.55
     rush
    -0.54
    POSITIVE LOGITS
    +.
    0.67
     sorts
    0.65
    %-
    0.60
     assorted
    0.60
    +,
    0.60
     dstg
    0.60
     personalities
    0.59
    0000000000000000
    0.59
    %.
    0.58
    votes
    0.58
    Activations Density 0.227%

    No Known Activations