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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. 1-RES-JB
    11. 24289
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    Explanations

    phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted phrases or dialogue within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanz
    -0.75
    kw
    -0.75
     pit
    -0.68
     boarding
    -0.67
    rieved
    -0.66
     kitchens
    -0.66
     whole
    -0.64
     Dull
    -0.62
    robe
    -0.61
     hunted
    -0.59
    POSITIVE LOGITS
     Whilst
    0.91
    /"
    0.87
     Keynes
    0.86
    Firstly
    0.79
    Marx
    0.76
    """
    0.76
    arta
    0.75
    pler
    0.75
    netflix
    0.72
    ablishment
    0.72
    Activations Density 0.029%

    No Known Activations