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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. 22948
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    Explanations

    terms related to specific names, possibly as a result of pattern matching

    oai_token-act-pair · gpt-3.5-turbo

    references to specific mathematical or hashing terms

    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
     Flavoring
    -0.71
    ashtra
    -0.68
    catentry
    -0.66
    channelAvailability
    -0.65
    iferation
    -0.60
    Ĥİ
    -0.60
    uous
    -0.58
    llah
    -0.58
    ection
    -0.57
    Font
    -0.57
    POSITIVE LOGITS
    ãģĨ
    0.83
    aku
    0.73
    lyn
    0.69
    gow
    0.67
    ghan
    0.67
    emp
    0.66
    aston
    0.66
    bye
    0.65
    isha
    0.65
    aton
    0.64
    Activations Density 0.143%

    No Known Activations