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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. 18387
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    Explanations

    phrases related to the end of something or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    references to brand names and their associated products or services

    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
    ongyang
    -0.79
    ï¸ı
    -0.71
    soDeliveryDate
    -0.70
    MSN
    -0.64
    ombat
    -0.63
    PDATE
    -0.60
    itsch
    -0.60
     Ans
    -0.60
    ioch
    -0.59
    icides
    -0.58
    POSITIVE LOGITS
    enment
    0.91
    BuyableInstoreAndOnline
    0.76
    keleton
    0.72
    rast
    0.72
    usted
    0.68
    notes
    0.68
    ciating
    0.68
    tails
    0.66
    icably
    0.66
     Kraken
    0.65
    Activations Density 0.079%

    No Known Activations