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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "fine" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "fine" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulator
    -0.77
    ulhu
    -0.74
    swick
    -0.72
     thwarted
    -0.72
    earchers
    -0.70
     Kut
    -0.70
    omorphic
    -0.69
    nikov
    -0.68
    rus
    -0.66
    PsyNetMessage
    -0.65
    POSITIVE LOGITS
     fine
    1.08
    Fine
    0.95
    fine
    0.94
     Gael
    0.92
     tuning
    0.91
     Fine
    0.89
     tuned
    0.78
     fines
    0.67
     Haven
    0.66
     Tune
    0.65
    Activations Density 0.009%

    No Known Activations