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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. 13426
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    Explanations

    references to popular culture or entertainment

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and pop music

    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
    RAW
    -0.82
    IVES
    -0.81
    APH
    -0.74
    perse
    -0.68
     Correspond
    -0.68
     Cruel
    -0.68
     ACTIONS
    -0.68
    beit
    -0.65
    IVE
    -0.65
    æ©Ł
    -0.65
    POSITIVE LOGITS
    ulates
    1.13
    ulating
    1.10
    corn
    0.96
    ulated
    0.95
    ulations
    0.94
    ularity
    0.93
    ulate
    0.86
    trop
    0.85
    ular
    0.85
     quiz
    0.84
    Activations Density 0.008%

    No Known Activations