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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. 4761
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    INDEX
    Explanations

    instances of negative descriptions or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    instances of poor quality or inadequacy in different contexts

    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
    arta
    -0.77
    raltar
    -0.70
     Slide
    -0.69
    ylene
    -0.64
     Keys
    -0.64
     GOODMAN
    -0.64
     Kinnikuman
    -0.63
    rosis
    -0.62
    anos
    -0.62
    anon
    -0.61
    POSITIVE LOGITS
     situated
    1.03
     priced
    0.88
     tailored
    0.84
     tuned
    0.81
    ect
    0.80
     disguised
    0.80
     constructed
    0.79
     conceived
    0.78
     entitled
    0.78
     titled
    0.77
    Activations Density 0.012%

    No Known Activations