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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 748
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    Explanations

    proper nouns related to locations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    the special character tokens indicating the end of the document and references to "Saint" followed by a number

    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
    ical
    -0.70
    sequence
    -0.66
    iferation
    -0.63
    clips
    -0.63
    HO
    -0.63
    mable
    -0.60
    itsch
    -0.60
    idation
    -0.59
     sled
    -0.58
    PT
    -0.58
    POSITIVE LOGITS
     Petersburg
    1.04
     Laurent
    1.02
    clair
    1.00
     Clair
    0.93
     Augustine
    0.89
     Louis
    0.89
     Lucia
    0.88
     Kitt
    0.85
     Francis
    0.82
    onew
    0.81
    Activations Density 0.025%

    No Known Activations