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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. 1-RES-JB
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    Explanations

    invitations or people being invited to events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "invited" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ther
    -0.85
    interest
    -0.75
     Aerospace
    -0.74
    unit
    -0.70
    patch
    -0.69
    flu
    -0.65
    arent
    -0.63
    ms
    -0.63
    inct
    -0.63
    smart
    -0.62
    POSITIVE LOGITS
     invitations
    1.12
     guests
    1.09
    ĸļ
    1.07
     invited
    1.05
     invite
    1.02
     invites
    0.97
     invitation
    0.94
     inviting
    0.92
     attendees
    0.88
    OHN
    0.82
    Activations Density 0.010%

    No Known Activations