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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
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    Explanations

    phrases related to experiences of suffering

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "suffered."

    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
    ococ
    -0.76
    rouse
    -0.64
    apo
    -0.64
    urry
    -0.61
    cle
    -0.60
    uren
    -0.60
    wed
    -0.58
    sav
    -0.57
    enta
    -0.57
    ahan
    -0.57
    POSITIVE LOGITS
     setbacks
    0.95
    acus
    0.78
     suffered
    0.78
     losses
    0.75
     horrend
    0.73
    lehem
    0.72
     horribly
    0.71
     inflicted
    0.69
    nces
    0.69
    ansson
    0.69
    Activations Density 0.015%

    No Known Activations