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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. 11-RES-JB
    11. 3462
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    Explanations

    words related to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Co" and its variations, likely indicating a focus on company names or affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.89
     corpus
    -0.69
     RTX
    -0.63
     Halls
    -0.60
     Revel
    -0.59
     preparations
    -0.58
     Marketable
    -0.57
     PEOPLE
    -0.56
     bankruptcy
    -0.56
     differe
    -0.55
    POSITIVE LOGITS
    oley
    1.30
    asters
    1.19
    opers
    1.19
    ombs
    1.14
    lette
    1.13
    aching
    1.13
    pps
    1.12
    venants
    1.11
    efficients
    1.10
    aches
    1.09
    Activations Density 0.016%

    No Known Activations