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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. 3-RES-JB
    11. 5556
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    Explanations

    code snippets related to regex and character manipulation

    oai_token-act-pair · gpt-3.5-turbo

    programming constructs and data types, particularly in a coding or technical context

    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
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    Negative Logits
     reconc
    -0.68
    conservancy
    -0.66
    conserv
    -0.64
    taboola
    -0.63
    ometimes
    -0.63
     Therapy
    -0.61
     tours
    -0.60
    rises
    -0.59
     confessions
    -0.59
     Charity
    -0.59
    POSITIVE LOGITS
    _
    1.09
    Enabled
    0.94
    Instance
    0.90
    Callback
    0.85
    Parameter
    0.84
    Input
    0.83
    Database
    0.83
    ::
    0.83
    Parameters
    0.83
    )"
    0.82
    Activations Density 0.229%

    No Known Activations