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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. 8845
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" indicating locations or contexts

    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
     Emails
    -0.67
    NAS
    -0.66
    ï¸ı
    -0.66
     IMAGES
    -0.65
    FBI
    -0.62
    neys
    -0.62
    MO
    -0.60
    CIA
    -0.60
     issu
    -0.59
    apeake
    -0.59
    POSITIVE LOGITS
     neighbouring
    0.90
     adjoining
    0.85
     lieu
    0.64
     disguise
    0.63
     imitation
    0.62
    ļéĨĴ
    0.62
    ĸļ
    0.61
     midday
    0.61
     Honour
    0.61
     neighboring
    0.60
    Activations Density 0.498%

    No Known Activations