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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. 18830
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    Explanations

    the word "every" preceding different types of actions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "every" and its implications of completeness or totality

    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
    olas
    -0.74
    phabet
    -0.73
    dict
    -0.69
     Osw
    -0.65
     Metatron
    -0.60
     Graves
    -0.60
    ees
    -0.59
     Presence
    -0.58
     Pru
    -0.58
    isson
    -0.58
    POSITIVE LOGITS
    THING
    1.54
     conceivable
    1.37
     imaginable
    1.29
    where
    1.06
     single
    1.04
    single
    1.01
     inch
    0.94
    thin
    0.94
     aspect
    0.93
     ounce
    0.91
    Activations Density 0.047%

    No Known Activations