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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. 9069
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    Explanations

    statements comparing two entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    conflicting opinions or contrasts between ideas

    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
    abases
    -0.74
    icipated
    -0.72
    illary
    -0.72
     clearance
    -0.66
    boarding
    -0.66
    --+
    -0.64
    ktop
    -0.63
    bid
    -0.62
    doms
    -0.62
     sidx
    -0.61
    POSITIVE LOGITS
     actually
    1.24
    actually
    1.15
     downright
    1.12
     nonetheless
    1.02
     nevertheless
    1.01
     indeed
    0.91
     exactly
    0.90
     untrue
    0.88
     quite
    0.87
     exceedingly
    0.86
    Activations Density 0.409%

    No Known Activations