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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. 10-RES-JB
    11. 21520
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    Explanations

    mentions of the word "Habit" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Hab" or its variations, indicating a focus on names or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    meal
    -0.74
    nings
    -0.69
    wise
    -0.66
     Stall
    -0.66
    afort
    -0.65
    plays
    -0.64
    terday
    -0.63
    chnology
    -0.63
    spir
    -0.63
    imates
    -0.62
    POSITIVE LOGITS
    itual
    1.35
    itable
    1.13
    ilitation
    1.04
    ibi
    0.99
    iru
    0.97
    itability
    0.96
    rid
    0.92
    ilit
    0.91
    itant
    0.90
    dullah
    0.88
    Activations Density 0.039%

    No Known Activations