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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. 4918
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    INDEX
    Explanations

    time frames such as "hours," "days," and "years" mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    time-related phrases or references in the context of a specific duration

    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
    Not in Any Lists

    No Comments

    Negative Logits
     envy
    -0.70
     mockery
    -0.66
     teammate
    -0.66
     turnout
    -0.64
     leveled
    -0.61
     shout
    -0.58
     duty
    -0.58
     clen
    -0.58
    roid
    -0.57
     tender
    -0.56
    POSITIVE LOGITS
     years
    1.06
    yrs
    1.05
    mins
    1.04
    years
    1.04
    months
    0.93
     months
    0.93
     milliseconds
    0.89
    km
    0.85
     mins
    0.85
    ANY
    0.84
    Activations Density 0.117%

    No Known Activations