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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. 10-RES-JB
    11. 9307
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    Explanations

    specific mentions of organizations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations and their personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     captcha
    -0.69
     characteristic
    -0.67
     caveats
    -0.67
     headlines
    -0.66
     headline
    -0.65
     rewritten
    -0.64
     silence
    -0.61
     sidel
    -0.60
     ticking
    -0.60
     caveat
    -0.60
    POSITIVE LOGITS
     Brewing
    0.84
     Laboratories
    0.83
     Academy
    0.82
     Industries
    0.81
     Productions
    0.81
    Club
    0.81
     Associates
    0.81
     Studios
    0.79
     Corporation
    0.79
     Ranch
    0.78
    Activations Density 0.759%

    No Known Activations