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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. 7492
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    Explanations

    keywords related to uniqueness or special characteristics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "unique" in various 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
    udder
    -0.66
    ©¶æ
    -0.65
    ruary
    -0.65
    docs
    -0.62
    jury
    -0.61
    Īè
    -0.60
    Loading
    -0.60
    apers
    -0.59
    ttp
    -0.59
    mol
    -0.59
    POSITIVE LOGITS
     identifier
    1.11
    ively
    1.09
     identifiers
    1.03
    ties
    0.97
    iveness
    0.92
    iates
    0.88
     characteristics
    0.88
     blend
    0.88
    ities
    0.87
    iator
    0.87
    Activations Density 0.054%

    No Known Activations