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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. 11-RES-JB
    11. 23984
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    Explanations

    mentions of specific individuals or entities and their current or future actions or roles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "be" indicating states of being or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Scroll
    -0.81
    Liter
    -0.73
     Stain
    -0.69
    usc
    -0.68
     Unknown
    -0.68
     srfAttach
    -0.67
    Trivia
    -0.66
    âĢ²
    -0.64
    achine
    -0.64
     sqor
    -0.63
    POSITIVE LOGITS
     remembered
    0.97
     joining
    0.93
     sorely
    0.91
     arra
    0.89
     reunited
    0.88
     replaced
    0.87
     heading
    0.86
     eligible
    0.85
     tasked
    0.85
     stepping
    0.85
    Activations Density 0.095%

    No Known Activations