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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. 8-RES-JB
    11. 10444
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.68
    hran
    -0.66
     Reader
    -0.63
     Cipher
    -0.62
    mass
    -0.59
    san
    -0.59
    hens
    -0.59
    gio
    -0.58
    gebra
    -0.58
     wink
    -0.57
    POSITIVE LOGITS
    OUN
    1.20
    OWN
    1.19
    AND
    1.16
    ILL
    1.16
     EDITION
    1.15
    ALE
    1.14
    IZ
    1.14
    AMES
    1.13
    ACTION
    1.13
    ARE
    1.12
    Activations Density 0.146%

    No Known Activations