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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. 0-RES-JB
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    Explanations

    mentions of the name "Phil" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Phil."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.85
    âĶĢ
    -0.80
     FML
    -0.76
    hazard
    -0.70
    AAAA
    -0.70
     hash
    -0.69
    UID
    -0.68
    Queue
    -0.67
    âĶģ
    -0.67
     hatch
    -0.66
    POSITIVE LOGITS
     Phil
    3.74
    Phil
    2.61
     phil
    1.89
    phil
    1.85
     Phill
    1.45
     Philip
    1.26
     Phillip
    1.17
     Philly
    1.12
     Philipp
    1.11
     Jerry
    1.11
    Activations Density 0.021%

    No Known Activations