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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the occurrence of the word "fourth."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fourth" and its context in numerical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTION
    -0.74
    facts
    -0.70
     Gould
    -0.70
    ETS
    -0.68
     Petraeus
    -0.67
     Lerner
    -0.67
     Mahm
    -0.67
    Money
    -0.64
    Boost
    -0.63
    Statistics
    -0.63
    POSITIVE LOGITS
    teenth
    1.09
     inning
    0.98
    ieth
    0.94
    irty
    0.92
     installment
    0.85
     baseman
    0.84
     consecutive
    0.83
    teen
    0.79
    assian
    0.78
     quarter
    0.78
    Activations Density 0.025%

    No Known Activations