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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10916
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    Explanations

    words ending in "-or"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "or"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTAL
    -0.68
    inctions
    -0.59
    SPA
    -0.57
    SPONSORED
    -0.56
     rounded
    -0.56
    eas
    -0.56
    Sus
    -0.55
    £ı
    -0.54
     msec
    -0.54
    eenth
    -0.53
    POSITIVE LOGITS
    chid
    1.15
    ific
    1.12
    izons
    1.06
    ussia
    1.03
    ikawa
    1.02
    phans
    1.01
    andom
    1.01
    onto
    1.00
    thodox
    0.99
    bid
    0.95
    Activations Density 0.040%

    No Known Activations