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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. 9-RES-JB
    11. 23129
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    INDEX
    Explanations

    descriptions of physical attributes and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    descriptive language that emphasizes color and visual qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DCS
    -0.56
    ometown
    -0.50
    annabin
    -0.50
     POLITICO
    -0.49
    efe
    -0.49
    dor
    -0.48
    ãģ¾
    -0.47
    éĹ
    -0.47
    Flickr
    -0.46
    Far
    -0.46
    POSITIVE LOGITS
     however
    1.10
     though
    0.84
     alot
    0.82
     tho
    0.79
     therefore
    0.65
     moreover
    0.64
     mainly
    0.61
     because
    0.60
     anyways
    0.60
     whilst
    0.59
    Activations Density 1.796%

    No Known Activations