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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. 6-RES-JB
    11. 2721
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    Explanations

    phrases related to legal proceedings and court conferences

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory expressions or phrases conveying excitement or surprise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inarily
    -0.46
     Canaver
    -0.46
     Marlins
    -0.44
     Swanson
    -0.42
    abol
    -0.42
    ciplinary
    -0.42
    ¶
    -0.42
     Brewers
    -0.42
    jug
    -0.41
     offseason
    -0.40
    POSITIVE LOGITS
    ĸļ
    0.72
    £ı
    0.61
    Ô
    0.58
    Ò
    0.57
    TPPStreamerBot
    0.53
    ='
    0.52
    Downloadha
    0.50
    ĪĴ
    0.50
    $$$$
    0.50
     [|
    0.49
    Activations Density 2.969%

    No Known Activations