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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. 14136
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    Explanations

    future tense sentences with "to be" constructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to future events or plans

    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
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    Negative Logits
    tein
    -0.69
    alin
    -0.69
     Helmet
    -0.66
     Parables
    -0.65
    framework
    -0.63
    Administ
    -0.61
    iquette
    -0.61
    earchers
    -0.61
    minus
    -0.60
    minecraft
    -0.60
    POSITIVE LOGITS
     awaited
    0.77
    soon
    0.74
    itia
    0.67
     commute
    0.67
    iatus
    0.66
    iry
    0.65
    ilee
    0.64
     prosper
    0.63
     fide
    0.63
     closer
    0.63
    Activations Density 0.052%

    No Known Activations