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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. 11-RES-JB
    11. 453
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to legal and illegal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oward
    -0.72
     etc
    -0.70
    nesday
    -0.70
     whilst
    -0.69
     continuation
    -0.67
    cember
    -0.66
     constructive
    -0.65
     organising
    -0.64
    Firstly
    -0.61
     hereby
    -0.60
    POSITIVE LOGITS
    typically
    0.99
    sometimes
    0.94
    often
    0.93
    Experts
    0.89
     Experts
    0.83
     experts
    0.81
    usually
    0.79
     typically
    0.78
    toggle
    0.77
     Often
    0.76
    Activations Density 0.823%

    No Known Activations