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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. 7374
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    Explanations

    phrases related to preparatory actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "prep" or its variations

    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
    soever
    -0.75
    âĸ¬
    -0.71
     Butterfly
    -0.69
    hips
    -0.65
    âĹ¼
    -0.65
    SHIP
    -0.65
    âĸ¬âĸ¬
    -0.63
    Reviewer
    -0.63
     Millennium
    -0.62
     Refuge
    -0.61
    POSITIVE LOGITS
    oster
    1.17
    ublic
    1.11
    regnancy
    1.06
    onder
    1.06
    ubes
    1.02
    otent
    1.00
    aired
    0.95
    ulse
    0.93
    uberty
    0.92
    etition
    0.89
    Activations Density 0.017%

    No Known Activations