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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. 6-RES-JB
    11. 15437
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    INDEX
    Explanations

    phrases related to taking actions or responses seriously

    oai_token-act-pair · gpt-3.5-turbo

    statements related to accountability and responsibility in the context of allegations and violations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.76
     looms
    -0.70
     grade
    -0.70
     shuffle
    -0.68
    cum
    -0.65
    chedel
    -0.61
     Younger
    -0.61
     joints
    -0.61
     rive
    -0.61
     charisma
    -0.61
    POSITIVE LOGITS
    Statement
    0.98
     unres
    0.94
     apologies
    0.92
     apologise
    0.88
     apologised
    0.86
     Statement
    0.86
    hement
    0.83
     apolog
    0.83
     condolences
    0.82
     refund
    0.82
    Activations Density 0.970%

    No Known Activations