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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. 3-RES-JB
    11. 13600
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Lang" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.87
    awaru
    -0.80
    ittee
    -0.72
    ÏĢ
    -0.71
    hift
    -0.71
    ×ij
    -0.68
    ÄŁ
    -0.68
     compensated
    -0.68
    iasm
    -0.67
    */(
    -0.67
    POSITIVE LOGITS
     Lang
    1.18
    ford
    1.03
    ley
    0.97
    strom
    0.96
    enberg
    0.94
    dale
    0.93
    mu
    0.86
    opa
    0.84
    ston
    0.84
    rams
    0.84
    Activations Density 0.008%

    No Known Activations