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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 437
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    Explanations

    references to bells

    oai_token-act-pair · gpt-3.5-turbo

    references to "bell," particularly in various contexts or uses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.76
    VICE
    -0.74
    selection
    -0.73
    ©¶æ
    -0.72
    rity
    -0.72
    POR
    -0.69
     Agents
    -0.69
    urat
    -0.67
     Sketch
    -0.67
    raviolet
    -0.67
    POSITIVE LOGITS
     bells
    1.08
    bell
    1.06
    ows
    0.92
     bell
    0.91
     ringing
    0.90
     rang
    0.85
    owing
    0.82
    ies
    0.81
    anca
    0.81
    owed
    0.81
    Activations Density 0.010%

    No Known Activations