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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. 0-RES-JB
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    Explanations

    the character "è" in text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "è" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     KC
    -0.67
     mobility
    -0.64
     Clarks
    -0.62
     trust
    -0.61
     recovery
    -0.61
     Nash
    -0.61
     Legends
    -0.60
     Justice
    -0.59
     confirmation
    -0.59
     heater
    -0.58
    POSITIVE LOGITS
    è
    4.24
    ère
    1.75
    ê
    1.55
    Ãł
    1.49
    és
    1.48
    é
    1.44
    ée
    1.41
    ét
    1.39
    ô
    1.16
    Ç
    1.10
    Activations Density 0.016%

    No Known Activations