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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. 4-RES-JB
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    Explanations

    mentions of invitations or events related to invitations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "invitation" and its variations

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

    No Comments

    Negative Logits
    bard
    -0.73
     Cav
    -0.71
     Yards
    -0.70
    ulz
    -0.66
    ikes
    -0.65
    yards
    -0.62
     Hemp
    -0.62
     ancest
    -0.61
    rael
    -0.61
     Thro
    -0.60
    POSITIVE LOGITS
     invitation
    1.36
     invitations
    1.32
     inviting
    0.98
     invites
    0.92
     invite
    0.90
    naires
    0.86
    eers
    0.78
    inv
    0.77
    xual
    0.77
    Inv
    0.76
    Activations Density 0.010%

    No Known Activations