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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. 6-RES-JB
    11. 7458
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    Explanations

    phrases or sentences emphasizing extremity, intensity, or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases formatted as "so [adjective] that [resulting situation or consequence]."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ached
    -0.59
    yne
    -0.58
    zman
    -0.57
    icit
    -0.57
     Hermes
    -0.56
    aiden
    -0.55
    ICK
    -0.55
    OOK
    -0.55
    AND
    -0.54
    ocker
    -0.53
    POSITIVE LOGITS
    76561
    0.74
    terday
    0.74
    soever
    0.73
    dn
    0.71
     they
    0.70
     exceeds
    0.67
    ptions
    0.67
    eday
    0.66
    itates
    0.65
     nobody
    0.63
    Activations Density 0.083%

    No Known Activations