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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. 6-RES-JB
    11. 2735
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    INDEX
    Explanations

    instances of the word "meeting"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "meeting" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cul
    -0.72
    duc
    -0.69
    oil
    -0.69
    Cola
    -0.68
    cean
    -0.68
    secut
    -0.67
     srf
    -0.66
    trop
    -0.66
    obs
    -0.66
    incarn
    -0.65
    POSITIVE LOGITS
    rooms
    1.07
    room
    0.98
     meetings
    0.97
     convened
    0.89
     session
    0.89
     halls
    0.87
     Tanz
    0.86
     attendees
    0.86
     chaired
    0.86
     Minutes
    0.85
    Activations Density 0.039%

    No Known Activations