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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. 392
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    INDEX
    Explanations

    mentions of different age groups, including kids, teenagers, and adults

    oai_token-act-pair · gpt-3.5-turbo

    references to childhood and adolescent experiences

    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
    aminer
    -0.72
    cific
    -0.68
    idine
    -0.68
    ologies
    -0.67
    ioxide
    -0.67
     Cosponsors
    -0.67
    atility
    -0.66
     outage
    -0.63
     Desk
    -0.63
     contingency
    -0.63
    POSITIVE LOGITS
    digy
    0.91
     idol
    0.86
    boy
    0.84
     boys
    0.83
     boy
    0.81
    kid
    0.79
     puberty
    0.78
     childhood
    0.77
     summers
    0.76
     elementary
    0.76
    Activations Density 0.146%

    No Known Activations