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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. 11-RES-JB
    11. 1887
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    Explanations

    phrases related to putting or combining things together

    oai_token-act-pair · gpt-3.5-turbo

    terms related to assembling or combining elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    psc
    -0.70
    essors
    -0.67
    Guard
    -0.66
    Interstitial
    -0.65
    /-
    -0.64
    taboola
    -0.63
    cius
    -0.62
     Countdown
    -0.62
    die
    -0.61
    taker
    -0.61
    POSITIVE LOGITS
     together
    1.48
    together
    1.20
     Together
    0.91
     toget
    0.90
     disparate
    0.89
     strands
    0.85
     distinctions
    0.81
     away
    0.79
     layers
    0.76
     seamlessly
    0.75
    Activations Density 0.197%

    No Known Activations