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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. 9-RES-JB
    11. 14056
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    Explanations

    phrases related to receiving or giving instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "told" indicating communication or instructions given to someone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aho
    -0.68
    adish
    -0.64
     Flavoring
    -0.63
     sidx
    -0.62
    mite
    -0.62
    appings
    -0.62
    ockets
    -0.61
    hur
    -0.60
     ILCS
    -0.60
    hash
    -0.59
    POSITIVE LOGITS
     by
    1.01
     orally
    0.99
     beforehand
    0.92
     repeatedly
    0.83
     aback
    0.80
     goodbye
    0.80
    tale
    0.77
    by
    0.74
     wrongly
    0.74
     verbally
    0.73
    Activations Density 0.052%

    No Known Activations