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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. 5165
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    INDEX
    Explanations

    mentions of changes or modifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to personal change or transformation

    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
    ngth
    -0.78
    Hung
    -0.71
     Brach
    -0.71
    ccoli
    -0.66
    ulhu
    -0.65
    Consumer
    -0.64
    icious
    -0.64
    cade
    -0.64
    DragonMagazine
    -0.64
    eri
    -0.62
    POSITIVE LOGITS
     tack
    0.87
     wording
    0.81
     fortunes
    0.78
     drastically
    0.77
     diapers
    0.76
     colour
    0.75
     radically
    0.75
     dial
    0.73
     diaper
    0.73
     tone
    0.72
    Activations Density 0.147%

    No Known Activations