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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. 3462
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    Explanations

    phrases related to banners

    oai_token-act-pair · gpt-3.5-turbo

    mentions of banners and related visual displays

    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
    uncture
    -0.76
    ulu
    -0.73
    OTOS
    -0.72
    EVA
    -0.67
    AE
    -0.67
    urrency
    -0.65
    sis
    -0.65
    ivot
    -0.65
    cephal
    -0.64
    OPE
    -0.63
    POSITIVE LOGITS
     banners
    1.17
     banner
    1.15
    pole
    1.04
     Banner
    0.85
     proclaiming
    0.82
    strip
    0.80
     headline
    0.80
    fly
    0.78
    nesday
    0.77
    flies
    0.77
    Activations Density 0.010%

    No Known Activations