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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. 7-RES-JB
    11. 11234
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    INDEX
    Explanations

    spoilers for movies or TV shows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of spoilers in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.75
    orget
    -0.70
    ateurs
    -0.69
    rys
    -0.69
    ictionary
    -0.68
    cham
    -0.67
    llan
    -0.67
    kos
    -0.67
    ¬¼
    -0.66
    trak
    -0.66
    POSITIVE LOGITS
     spoilers
    1.08
     spoiler
    1.07
    OIL
    0.99
     spoil
    0.92
    oiler
    0.87
    OUS
    0.79
     spo
    0.77
    ervative
    0.73
    ittal
    0.73
    ariat
    0.69
    Activations Density 0.036%

    No Known Activations