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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. 1129
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    Explanations

    dates and time references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and times

    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
    rouse
    -0.77
    artifacts
    -0.65
     streng
    -0.60
    inese
    -0.60
    aceae
    -0.59
    osponsors
    -0.59
    regon
    -0.59
    igham
    -0.58
     Nanto
    -0.58
     externalToEVAOnly
    -0.56
    POSITIVE LOGITS
     afternoon
    0.69
     evening
    0.69
     there
    0.65
     everybody
    0.61
     morning
    0.60
     deadline
    0.59
     none
    0.59
     everyone
    0.59
    rd
    0.59
     midnight
    0.58
    Activations Density 0.107%

    No Known Activations