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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. 14350
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    INDEX
    Explanations

    phrases related to people's occupations and roles

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include names, titles, or identifiers associated with individuals

    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
    Eye
    -0.70
    nai
    -0.70
    Sov
    -0.69
    Compat
    -0.69
    soDeliveryDate
    -0.67
    OTHER
    -0.66
    Translation
    -0.66
    AMS
    -0.65
     incent
    -0.64
    itech
    -0.64
    POSITIVE LOGITS
     Mr
    0.85
     he
    0.85
     novelist
    0.85
     musician
    0.82
     Julian
    0.79
     Stephen
    0.78
     she
    0.78
     Conrad
    0.77
     Colin
    0.77
     entrepreneur
    0.76
    Activations Density 0.221%

    No Known Activations