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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. 22651
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    Explanations

    adverbs describing deliberate or intentional actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intentional or deliberate actions

    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
     Parables
    -0.80
     Init
    -0.72
    busters
    -0.71
    uran
    -0.69
     Warrant
    -0.68
    arious
    -0.68
    norm
    -0.68
    soon
    -0.67
    raph
    -0.67
    oran
    -0.66
    POSITIVE LOGITS
     misleading
    1.08
     mislead
    1.04
     misrepresent
    1.03
     misled
    1.03
     dece
    1.03
     obfusc
    0.98
     sabot
    0.95
     deceive
    0.93
     provoking
    0.91
     deceived
    0.90
    Activations Density 0.051%

    No Known Activations