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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    references to "thorns"

    oai_token-act-pair · gpt-3.5-turbo

    references to thorns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPR
    -0.74
     combination
    -0.64
     Movie
    -0.64
     CAS
    -0.63
     IM
    -0.63
     QC
    -0.62
     registration
    -0.60
     background
    -0.60
     crossover
    -0.60
     GPS
    -0.60
    POSITIVE LOGITS
    orns
    4.66
    orn
    2.35
    orned
    1.73
    ORN
    1.69
    orne
    1.41
    orses
    1.36
    irds
    1.03
    ounds
    1.02
    ords
    1.02
    rees
    1.01
    Activations Density 0.014%

    No Known Activations