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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. 13788
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    Explanations

    words related to food processing techniques

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "ur" or related variations, indicating a focus on certain word formations or roots

    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
    otle
    -0.72
     Feder
    -0.69
     Schultz
    -0.65
     Benedict
    -0.62
    aan
    -0.61
    isSpecialOrderable
    -0.60
    ophe
    -0.59
    ept
    -0.58
    eller
    -0.58
     Citation
    -0.57
    POSITIVE LOGITS
    geon
    1.26
    geons
    1.19
    thur
    1.05
    andom
    1.03
    rences
    1.01
    ricular
    0.99
    ricane
    0.96
    geoning
    0.93
    ricanes
    0.90
    anium
    0.90
    Activations Density 0.032%

    No Known Activations