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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. 4-RES-JB
    11. 2859
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    Explanations

    phrases indicating preparation or progression towards an action or event

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or heightened emotions

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

    No Comments

    Negative Logits
     thereof
    -0.70
     wounding
    -0.69
     Mé
    -0.68
     clipping
    -0.67
     alike
    -0.66
     predec
    -0.65
     grouping
    -0.63
    oyer
    -0.62
     1985
    -0.61
     Sloan
    -0.59
    POSITIVE LOGITS
    redients
    0.85
    soDeliveryDate
    0.84
    ictionary
    0.80
    edge
    0.79
    enhagen
    0.78
    thur
    0.73
    border
    0.72
    argon
    0.71
    berman
    0.69
    sth
    0.66
    Activations Density 0.665%

    No Known Activations