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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. 7929
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    terms related to laundry and washing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to washing and washrooms

    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
    vernment
    -0.73
    reme
    -0.72
    iasm
    -0.68
    iosity
    -0.67
    */(
    -0.66
    ourke
    -0.66
    heid
    -0.66
    ontent
    -0.65
     reluct
    -0.64
     Defenders
    -0.64
    POSITIVE LOGITS
     ashore
    1.15
    rooms
    1.02
    cloth
    1.01
    robe
    0.97
    stakes
    0.88
    room
    0.86
    bas
    0.85
    tub
    0.83
    houses
    0.83
    aways
    0.82
    Activations Density 0.031%

    No Known Activations