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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. 12-RES-JB
    11. 3298
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    INDEX
    Explanations

    words related to invitations or guests

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to invitations and recipients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    gap
    -0.69
    illard
    -0.65
    roying
    -0.60
    framework
    -0.58
    lust
    -0.58
    Percent
    -0.58
    bage
    -0.57
    prototype
    -0.57
    slave
    -0.57
    store
    -0.57
    POSITIVE LOGITS
     guests
    1.16
     invitations
    1.08
     invitation
    0.98
     guest
    0.94
     hither
    0.88
     invites
    0.85
     into
    0.82
     invited
    0.81
     Guests
    0.81
     invite
    0.80
    Activations Density 0.075%

    No Known Activations