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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. 6-RES-JB
    11. 2665
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    Explanations

    invitations or offers extended to individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of invitations or requests to participate in events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lda
    -0.81
    gradient
    -0.71
    effic
    -0.68
     cass
    -0.67
     propelled
    -0.65
    rified
    -0.65
     reliant
    -0.65
    framework
    -0.65
    alky
    -0.64
     depleted
    -0.63
    POSITIVE LOGITS
     gatherings
    0.80
     participate
    0.79
     join
    0.79
     parties
    0.71
    riott
    0.70
     Paradise
    0.70
     explore
    0.69
     fellowship
    0.69
     stroll
    0.68
     voluntarily
    0.68
    Activations Density 0.175%

    No Known Activations