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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. 10-RES-JB
    11. 4550
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    Explanations

    capitalized words with unusual characters or symbols

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or negativity regarding social interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laurent
    -0.62
     Samar
    -0.56
     Skydragon
    -0.55
     MON
    -0.52
     MUS
    -0.51
    CLASSIFIED
    -0.51
     VIEW
    -0.50
    OSP
    -0.50
     MEM
    -0.50
     RAD
    -0.49
    POSITIVE LOGITS
    s
    1.00
    scl
    0.83
    t
    0.82
    tarian
    0.77
    ty
    0.75
    ses
    0.73
    sb
    0.73
    ll
    0.73
    swer
    0.71
    ved
    0.70
    Activations Density 0.244%

    No Known Activations