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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. 952
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    INDEX
    Explanations

    action verbs indicating effectiveness or potential effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    strategies or approaches that may or may not be effective in various contexts

    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
    ulkan
    -0.75
     Registrar
    -0.69
     Typ
    -0.67
    QL
    -0.65
    ciating
    -0.63
    âĿ
    -0.63
    avanaugh
    -0.62
    ahime
    -0.62
    parts
    -0.61
     Reserved
    -0.61
    POSITIVE LOGITS
     succeed
    1.37
     succeeded
    1.21
     succeeds
    1.16
     success
    1.10
     yield
    1.00
     fail
    0.98
     succeeding
    0.97
     successfully
    0.95
     effectiveness
    0.95
     worked
    0.94
    Activations Density 0.303%

    No Known Activations