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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. 5168
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    INDEX
    Explanations

    phrases with symbols inserted between words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.77
    grass
    -0.72
    odi
    -0.71
     purse
    -0.70
    iculture
    -0.69
    onds
    -0.68
    odium
    -0.68
     womb
    -0.68
    ord
    -0.66
    artz
    -0.65
    POSITIVE LOGITS
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    0.98
    âĢ¦âĢ¦âĢ¦âĢ¦
    0.94
    BUT
    0.88
     Continue
    0.82
    wait
    0.81
    etc
    0.76
    CLASSIFIED
    0.75
     Continued
    0.75
     uh
    0.71
     Appears
    0.71
    Activations Density 0.013%

    No Known Activations