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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21634
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    Explanations

    terms related to the fast food industry

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "fast food" and related topics

    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
    çīĪ
    -0.81
     reservations
    -0.68
     Carnegie
    -0.67
     caucuses
    -0.65
     shareholders
    -0.64
     directors
    -0.64
     Norris
    -0.61
     Vera
    -0.61
     merits
    -0.61
     Marketable
    -0.60
    POSITIVE LOGITS
    paced
    1.36
    growing
    1.19
    moving
    1.15
    twitch
    1.10
    motion
    1.09
    track
    1.04
    develop
    1.04
     paced
    1.02
    rising
    1.00
    fashion
    0.99
    Activations Density 0.053%

    No Known Activations