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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. 19424
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    INDEX
    Explanations

    phrases indicating a quote or reported speech

    oai_token-act-pair · gpt-3.5-turbo

    statements attributed to individuals

    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
     delinquent
    -0.79
     playbook
    -0.70
     giveaway
    -0.68
     guiActiveUnfocused
    -0.63
     trouble
    -0.63
     stabilized
    -0.63
     firewall
    -0.62
     consolidation
    -0.62
     stabilization
    -0.62
     levers
    -0.60
    POSITIVE LOGITS
     '[
    1.09
     "(
    1.02
     "[
    1.00
     "'
    0.96
     ""
    0.93
     "...
    0.91
     ''
    0.88
     "âĢ¦
    0.85
     '(
    0.85
     '
    0.84
    Activations Density 0.057%

    No Known Activations