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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9611
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    Explanations

    references to the word "Bad" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the word "Bad."

    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
    ĸļ
    -0.68
    conservancy
    -0.65
     helic
    -0.64
     Manson
    -0.63
    izabeth
    -0.62
    thens
    -0.61
     Tsukuyomi
    -0.58
     exquisite
    -0.57
    accompan
    -0.57
     corps
    -0.57
    POSITIVE LOGITS
    ges
    1.20
    ger
    1.13
    gers
    1.07
    die
    0.99
    ged
    0.96
    ge
    0.93
    ass
    0.92
    lands
    0.90
    ging
    0.86
    enstein
    0.85
    Activations Density 0.027%

    No Known Activations