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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. 10-RES-JB
    11. 16190
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    Explanations

    phrases related to personal involvement or actions

    oai_token-act-pair · gpt-3.5-turbo

    personal statements or expressions of opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Emin
    -0.71
     Stall
    -0.65
    period
    -0.65
    eland
    -0.63
     Curve
    -0.63
     Frie
    -0.61
    Berry
    -0.61
    ENCY
    -0.61
     Definitions
    -0.61
     Gutenberg
    -0.60
    POSITIVE LOGITS
     identifiable
    1.05
     intervened
    0.95
    ographed
    0.83
    ised
    0.81
     benefited
    0.81
     attest
    0.81
     inspected
    0.80
     apologized
    0.80
     thanked
    0.79
    ished
    0.78
    Activations Density 0.032%

    No Known Activations