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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. 4-RES-JB
    11. 22389
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    Explanations

    phrases related to legal proceedings or decisions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "Pl" followed by numbers

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

    No Comments

    Negative Logits
    âĸ¬
    -0.71
    bolt
    -0.68
     tune
    -0.67
    âĸ¬âĸ¬
    -0.67
    æĢ
    -0.66
    Interstitial
    -0.66
    eer
    -0.65
    cue
    -0.64
    uliffe
    -0.64
    bal
    -0.64
    POSITIVE LOGITS
    asma
    1.25
    atinum
    1.20
    anned
    1.10
    enty
    1.07
    utonium
    1.06
    ague
    1.02
    ife
    1.01
    ausible
    0.98
    umbers
    0.96
    itary
    0.93
    Activations Density 0.008%

    No Known Activations