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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. 3-RES-JB
    11. 17867
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    INDEX
    Explanations

    phrases related to societal issues involving people

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to societal challenges and economic conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Quantity
    -0.63
     Collider
    -0.59
    LOCK
    -0.57
    Quotes
    -0.55
     Prol
    -0.55
    Cooldown
    -0.54
     procedure
    -0.52
    BRE
    -0.51
    ISION
    -0.51
     Fract
    -0.50
    POSITIVE LOGITS
     themselves
    0.78
    conserv
    0.71
    pees
    0.70
    vae
    0.69
    agna
    0.67
     whom
    0.65
    mbuds
    0.63
     alike
    0.62
    chool
    0.60
    who
    0.59
    Activations Density 2.428%

    No Known Activations