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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. 13942
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    Explanations

    verbs related to demonstrating or showcasing something with emphasis on the strength of conviction

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to demonstrating or establishing evidence

    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
    letal
    -0.79
     newsletters
    -0.78
    umbn
    -0.78
    ropri
    -0.65
    lished
    -0.63
    orney
    -0.63
    pour
    -0.62
    etting
    -0.62
    onductor
    -0.61
    isions
    -0.60
    POSITIVE LOGITS
     incapable
    0.82
     resilient
    0.82
     invaluable
    0.77
    ance
    0.77
     elusive
    0.75
     ineffective
    0.73
     untrue
    0.72
    \\\\\\\\
    0.69
     beyond
    0.68
     Grounds
    0.68
    Activations Density 0.044%

    No Known Activations