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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. 3-RES-JB
    11. 4837
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    Explanations

    expressions related to time durations

    oai_token-act-pair · gpt-3.5-turbo

    references to time duration and processing time in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -1.11
    kef
    -0.95
    riad
    -0.94
    ortium
    -0.88
    hid
    -0.80
    artisan
    -0.78
    riks
    -0.76
    uthor
    -0.74
    inav
    -0.72
    awan
    -0.71
    POSITIVE LOGITS
    frames
    1.28
    frame
    1.03
     elapsed
    0.96
     frames
    0.88
     consuming
    0.85
     frame
    0.84
    zone
    0.84
     stamps
    0.83
    borne
    0.82
     periods
    0.78
    Activations Density 0.096%

    No Known Activations