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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. 7-RES-JB
    11. 2721
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    Explanations

    phrases related to increases in quantities or prices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic metrics and costs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.84
     Griffith
    -0.70
    bern
    -0.68
     Cele
    -0.68
    love
    -0.67
    omorphic
    -0.67
    gar
    -0.67
    icians
    -0.65
    oros
    -0.65
    sbm
    -0.63
    POSITIVE LOGITS
     exponentially
    0.98
     dramatically
    0.95
     considerably
    0.93
     substantially
    0.86
     tremendously
    0.86
     significantly
    0.84
     drastically
    0.83
     enormously
    0.81
     accordingly
    0.78
    ahime
    0.75
    Activations Density 0.319%

    No Known Activations