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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. 4-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the consistency and quality of service in various contexts

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

    No Comments

    Negative Logits
    )."
    -0.75
    ]."
    -0.73
    .).
    -0.63
    ).[
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    .'"
    -0.61
    '."
    -0.59
    .""
    -0.59
    ".[
    -0.59
    ."[
    -0.59
    ).
    -0.55
    POSITIVE LOGITS
    ':
    0.43
    reenshots
    0.41
    undrum
    0.41
    ibliography
    0.37
    \":
    0.36
     @
    0.35
    eanor
    0.35
     partName
    0.34
     FANTASY
    0.34
     Edit
    0.34
    Activations Density 8.781%

    No Known Activations