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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. 11-RES-JB
    11. 13568
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    Explanations

    expressions of time involving durations, particularly referring to periods of "three or four" of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a range of numerical quantities or variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INS
    -0.65
    iasm
    -0.64
    NESS
    -0.64
    RED
    -0.62
    ND
    -0.61
    RP
    -0.59
     SOFTWARE
    -0.59
    iae
    -0.58
    IRE
    -0.57
     Nguyen
    -0.57
    POSITIVE LOGITS
     five
    1.02
    fif
    1.00
     four
    0.98
     eight
    0.94
     six
    0.93
     seven
    0.90
    five
    0.88
     ten
    0.86
     three
    0.85
     maybe
    0.85
    Activations Density 0.039%

    No Known Activations