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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. 2-RES-JB
    11. 15712
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    Explanations

    mentions of promotional content or signs

    oai_token-act-pair · gpt-3.5-turbo

    references to banners in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AE
    -0.78
    ulu
    -0.76
    EVA
    -0.74
    sis
    -0.74
    olls
    -0.72
    uncture
    -0.70
    cephal
    -0.69
    ivot
    -0.69
    urrency
    -0.68
    OTOS
    -0.67
    POSITIVE LOGITS
     banner
    1.25
     banners
    1.21
    pole
    0.99
     Banner
    0.89
     slogan
    0.80
     headline
    0.80
    stones
    0.78
     proclaiming
    0.75
     flags
    0.75
    holder
    0.73
    Activations Density 0.009%

    No Known Activations