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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. 9-RES-JB
    11. 6087
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    Explanations

    references to both the positive and negative aspects of various situations

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     regardless
    -0.71
     irrespective
    -0.69
    Share
    -0.69
    ACY
    -0.68
    Factor
    -0.67
    Recent
    -0.66
    Enable
    -0.65
    linked
    -0.65
    Britain
    -0.64
    Allows
    -0.64
    POSITIVE LOGITS
     rest
    1.25
     latter
    1.21
     remainder
    1.08
     entirety
    0.98
     slightest
    0.96
     dreaded
    0.95
     actual
    0.88
     brightest
    0.87
     smallest
    0.86
     whole
    0.86
    Activations Density 0.302%

    No Known Activations