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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23266
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    INDEX
    Explanations

    phrases cautioning or advising carefulness

    oai_token-act-pair · gpt-3.5-turbo

    assertions or recommendations to exercise caution

    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
    Lens
    -0.66
     Beet
    -0.64
    JECT
    -0.63
    plex
    -0.61
    volume
    -0.60
    mitt
    -0.59
     seams
    -0.57
     Feld
    -0.57
    soever
    -0.57
    minster
    -0.57
    POSITIVE LOGITS
    ary
    1.26
     caution
    0.92
    autions
    0.91
    arily
    0.91
    ously
    0.90
    aries
    0.89
    ARY
    0.83
    ificate
    0.80
    udic
    0.79
    urous
    0.79
    Activations Density 0.030%

    No Known Activations