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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. 11-RES-JB
    11. 7807
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    Explanations

    instances where someone is invited to an event or activity

    oai_token-act-pair · gpt-3.5-turbo

    words related to invitations and requests to attend events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rior
    -0.73
    grim
    -0.69
    rupted
    -0.68
    smart
    -0.63
    stead
    -0.63
    slave
    -0.62
    prototype
    -0.61
    ther
    -0.60
    bard
    -0.60
    gap
    -0.59
    POSITIVE LOGITS
     invitations
    1.23
     guests
    1.12
     invitation
    1.10
     invites
    0.89
     guest
    0.87
     invited
    0.85
     invite
    0.84
     inviting
    0.78
     bids
    0.78
     hither
    0.75
    Activations Density 0.038%

    No Known Activations