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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. 3-RES-JB
    11. 20304
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    Explanations

    phrases related to seating arrangements or availability

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "seats" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ivy
    -0.68
    Operation
    -0.68
    operation
    -0.64
    ONEY
    -0.62
     Thames
    -0.61
     Intervention
    -0.61
    OPER
    -0.60
    Done
    -0.60
    PUT
    -0.60
     Balanced
    -0.60
    POSITIVE LOGITS
     seats
    1.25
     seat
    1.02
     Seat
    1.02
    seat
    1.01
    holders
    1.01
     seating
    0.94
    poons
    0.89
    belt
    0.88
    hare
    0.85
     holders
    0.84
    Activations Density 0.010%

    No Known Activations