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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. 3-RES-JB
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    Explanations

    present tense verbs related to consuming or eating

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "eat"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.75
     feasibility
    -0.70
    VERSION
    -0.69
     VK
    -0.65
     consultation
    -0.63
     referen
    -0.63
    chlor
    -0.63
    hift
    -0.61
     traff
    -0.60
     Strat
    -0.60
    POSITIVE LOGITS
    hered
    1.20
    ibles
    0.91
    hedral
    0.91
    eteria
    0.86
    hers
    0.86
    urers
    0.85
    ickets
    0.83
    rice
    0.82
    mone
    0.81
    iors
    0.81
    Activations Density 0.009%

    No Known Activations