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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. 1-RES-JB
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    Explanations

    the word "Quick" with a high degree of activation

    oai_token-act-pair · gpt-3.5-turbo

    the term "Quick" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.76
    Ãį
    -0.71
    ktop
    -0.66
     Jed
    -0.65
    mus
    -0.65
    Interstitial
    -0.65
     Viking
    -0.64
    oldemort
    -0.64
    åĨ
    -0.64
    LECT
    -0.62
    POSITIVE LOGITS
    Quick
    1.02
    itude
    0.96
     Quick
    0.92
    entimes
    0.88
    hens
    0.81
    lime
    0.80
    ening
    0.79
    fix
    0.79
    ly
    0.76
    quick
    0.75
    Activations Density 0.006%

    No Known Activations