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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. 9-RES-JB
    11. 14356
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    Explanations

    phrases and sentences related to formal meetings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "meeting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    duc
    -0.69
    ãģĦ
    -0.67
    obal
    -0.67
    ãĥ©ãĥ³
    -0.66
    peria
    -0.65
    ãģĹ
    -0.65
     srf
    -0.63
    ously
    -0.62
    Cola
    -0.62
    cul
    -0.60
    POSITIVE LOGITS
    rooms
    1.12
     convened
    1.09
     chaired
    1.07
    room
    1.05
     adjourn
    0.97
     session
    0.96
     attendees
    0.90
     meetings
    0.90
     sessions
    0.88
     halls
    0.88
    Activations Density 0.052%

    No Known Activations