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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. 11429
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    Explanations

    references to the publication "Time Magazine"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Time" magazine

    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
    ramid
    -0.92
    riks
    -0.87
    riad
    -0.87
    artisan
    -0.79
    kef
    -0.77
    ortium
    -0.76
    warts
    -0.75
    uilt
    -0.71
    olulu
    -0.71
    ongyang
    -0.71
    POSITIVE LOGITS
    frames
    0.98
    frame
    0.92
    borne
    0.91
    Zone
    0.86
     msec
    0.86
    zone
    0.85
     Time
    0.81
    Machine
    0.78
    Time
    0.78
     Protocol
    0.77
    Activations Density 0.036%

    No Known Activations