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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. 6-RES-JB
    11. 22016
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    INDEX
    Explanations

    phrases emphasizing exactness or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    the word "precisely" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asta
    -0.86
    abies
    -0.84
    ocene
    -0.80
    aea
    -0.74
    LAND
    -0.73
    ilee
    -0.71
     Mushroom
    -0.69
    TRY
    -0.68
     BYU
    -0.61
    roe
    -0.60
    POSITIVE LOGITS
     tuned
    0.80
    ãģ®å®
    0.78
     tailored
    0.77
     deline
    0.76
    rics
    0.75
    itars
    0.74
     positioned
    0.74
    uner
    0.72
     timed
    0.71
    odox
    0.71
    Activations Density 0.023%

    No Known Activations