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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. 17895
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    Explanations

    time-related expressions, particularly those specifying a short duration

    oai_token-act-pair · gpt-3.5-turbo

    time-related measurements and intervals

    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
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    Negative Logits
    imir
    -0.71
     ard
    -0.63
     hypocr
    -0.60
     RAID
    -0.59
    lav
    -0.59
    oided
    -0.59
    itors
    -0.58
    dinand
    -0.58
    ever
    -0.58
     dearly
    -0.58
    POSITIVE LOGITS
    aneously
    0.92
     increments
    0.74
     confines
    0.70
     thereof
    0.70
     Horde
    0.66
    eme
    0.65
     thereafter
    0.65
     Ples
    0.64
     of
    0.64
    roach
    0.63
    Activations Density 0.074%

    No Known Activations