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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. 8-RES-JB
    11. 1275
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    Explanations

    overly strong emotional language

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "loathe" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rity
    -0.70
    rition
    -0.68
     Buff
    -0.66
    ramid
    -0.65
    nesium
    -0.65
     Bravo
    -0.60
     Annotations
    -0.60
     chemistry
    -0.59
    LESS
    -0.59
    ITAL
    -0.58
    POSITIVE LOGITS
    oser
    1.00
    aves
    0.99
    omed
    0.93
    aning
    0.90
    lder
    0.88
    aunted
    0.83
    gged
    0.82
    ith
    0.82
    qq
    0.79
    aned
    0.79
    Activations Density 0.023%

    No Known Activations