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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. 7-RES-JB
    11. 3819
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    Explanations

    specific time ranges

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference time intervals or ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.87
    vous
    -0.75
    rav
    -0.74
    eto
    -0.65
    gow
    -0.64
    unc
    -0.64
    orth
    -0.63
    plete
    -0.62
    atically
    -0.62
    eton
    -0.61
    POSITIVE LOGITS
     halves
    0.79
     genders
    0.75
     sexes
    0.71
     extremes
    0.70
     bouts
    0.70
    urst
    0.68
     rounds
    0.64
    stocks
    0.63
    ãĥīãĥ©ãĤ´ãĥ³
    0.62
    between
    0.61
    Activations Density 0.043%

    No Known Activations