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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. 9544
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    Explanations

    phrases related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "say" or its variations indicating statements or assertions

    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
    folios
    -0.74
    thia
    -0.70
    ghazi
    -0.68
    theless
    -0.67
    aughs
    -0.67
    infeld
    -0.66
    estern
    -0.63
    phant
    -0.62
    ocobo
    -0.61
    anz
    -0.60
    POSITIVE LOGITS
     goodbye
    1.10
    oras
    0.72
    ysis
    0.71
     Goodbye
    0.66
    ially
    0.64
     colours
    0.63
     farewell
    0.63
    ogun
    0.62
    ieu
    0.61
     bye
    0.61
    Activations Density 0.120%

    No Known Activations