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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. 9-RES-JB
    11. 1436
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    Explanations

    capitalized words or phrases with a distinctive pattern

    oai_token-act-pair · gpt-3.5-turbo

    titles and names related to fictional works, particularly in the fantasy genre

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trough
    -0.68
     reperto
    -0.64
     parcel
    -0.63
     detector
    -0.61
     package
    -0.60
     Faul
    -0.59
     weekday
    -0.59
     bandwagon
    -0.59
     referen
    -0.59
    etheless
    -0.59
    POSITIVE LOGITS
    ropy
    0.93
    areth
    0.88
    thood
    0.85
    nesia
    0.84
    stasy
    0.83
    athing
    0.82
    uties
    0.81
    aea
    0.81
    oneliness
    0.78
    obos
    0.77
    Activations Density 0.252%

    No Known Activations