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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. 23552
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    INDEX
    Explanations

    phrases related to unintended consequences or side effects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating authorship or causation

    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
     Provision
    -0.75
    edIn
    -0.65
     Monsters
    -0.63
    orea
    -0.63
    ASED
    -0.59
     Restoration
    -0.58
     Fighter
    -0.58
     Voy
    -0.58
     Standards
    -0.58
     Requirements
    -0.57
    POSITIVE LOGITS
    -
    1.12
    âĢij
    0.93
    usal
    0.90
    -$
    0.90
    âĢIJ
    0.90
    -'
    0.83
    lier
    0.82
    pron
    0.79
    -,
    0.79
    -(
    0.78
    Activations Density 0.221%

    No Known Activations