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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. 4-RES-JB
    11. 717
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    Explanations

    phrases related to baths or bathroom activities

    oai_token-act-pair · gpt-3.5-turbo

    references to bathtubs and bathing

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

    No Comments

    Negative Logits
    vernment
    -0.68
     srf
    -0.66
    bably
    -0.65
     deported
    -0.63
     vague
    -0.63
    VEN
    -0.62
    backer
    -0.61
    pez
    -0.61
     unsustainable
    -0.61
    KNOWN
    -0.61
    POSITIVE LOGITS
    tub
    1.70
    rooms
    1.29
    room
    1.29
    urst
    1.26
    robe
    1.18
     baths
    0.95
     salts
    0.91
    maid
    0.91
    bath
    0.89
     Spa
    0.89
    Activations Density 0.015%

    No Known Activations