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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. 12168
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    words related to pursuing or seeking justice

    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
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    Negative Logits
    washer
    -0.83
     abound
    -0.74
     minimized
    -0.71
     clipboard
    -0.68
     Feedback
    -0.67
     eleph
    -0.67
     tenancy
    -0.65
     Casino
    -0.64
     applic
    -0.64
    romy
    -0.64
    POSITIVE LOGITS
    omach
    0.81
    aeda
    0.73
    ifa
    0.72
    uctor
    0.70
    ón
    0.69
    riel
    0.69
     Frankfurt
    0.68
    amina
    0.68
    insk
    0.67
    uben
    0.66
    Activations Density 0.000%

    No Known Activations