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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
    11. 23613
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    Explanations

    measurements or quantities, particularly referring to large amounts or volumes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of large quantities measured in tons

    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
    TPPStreamerBot
    -0.75
    Dub
    -0.72
    gotten
    -0.68
    Journal
    -0.67
    Scotland
    -0.66
    yrinth
    -0.66
    DragonMagazine
    -0.65
    Loop
    -0.65
    stood
    -0.64
    attled
    -0.64
    POSITIVE LOGITS
     tons
    0.95
    poons
    0.91
    urgical
    0.88
    ension
    0.88
    heimer
    0.86
    umatic
    0.82
    iles
    0.82
    umes
    0.82
    oxin
    0.81
    ongs
    0.79
    Activations Density 0.008%

    No Known Activations