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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. 9-RES-JB
    11. 2883
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    Explanations

    technical jargon and terms related to completion or success

    oai_token-act-pair · gpt-3.5-turbo

    expressions of betrayal and deception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Regarding
    -0.70
    also
    -0.69
    Additionally
    -0.65
    particularly
    -0.65
    -0.62
    Interested
    -0.61
    "[
    -0.61
    igious
    -0.61
    \",
    -0.60
    waukee
    -0.60
    POSITIVE LOGITS
     quo
    0.68
     equilibrium
    0.67
     bluff
    0.65
     hemor
    0.64
     obe
    0.63
     ingred
    0.63
     relent
    0.61
     mistakes
    0.59
     humili
    0.59
     pus
    0.59
    Activations Density 1.705%

    No Known Activations