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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. 3036
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    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns

    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
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    No Comments

    Negative Logits
     collide
    -0.75
     disarm
    -0.75
     impact
    -0.74
     humidity
    -0.72
     inclination
    -0.72
     coerc
    -0.72
     biases
    -0.71
     stagger
    -0.71
     preclude
    -0.71
     suspending
    -0.70
    POSITIVE LOGITS
    XXX
    0.87
    XXXX
    0.86
     Kare
    0.85
    RR
    0.79
    xxxx
    0.79
     Doe
    0.78
     Patel
    0.78
    idae
    0.78
     Canaver
    0.74
     Mile
    0.73
    Activations Density 0.387%

    No Known Activations