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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 22975
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    Explanations

    names and titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ernest" and other proper nouns related to notable individuals

    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
    pir
    -0.69
    heed
    -0.68
    pher
    -0.68
    tnc
    -0.67
    por
    -0.67
    creen
    -0.67
    tumblr
    -0.66
    PER
    -0.61
    dj
    -0.60
    fal
    -0.60
    POSITIVE LOGITS
    inez
    0.82
    erick
    0.82
    sson
    0.82
    obal
    0.82
     Ernest
    0.80
     Borg
    0.80
    inas
    0.79
     Hem
    0.79
    shire
    0.77
     Lauder
    0.77
    Activations Density 0.014%

    No Known Activations