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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. 4-RES-JB
    6. 8237
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    cember
    -0.73
     flats
    -0.70
    rooms
    -0.64
    iage
    -0.63
    çĦ
    -0.61
    Ô
    -0.61
     Samoa
    -0.60
     Pigs
    -0.59
    eele
    -0.58
    verages
    -0.58
    POSITIVE LOGITS
    andum
    0.75
    ogyn
    0.73
    yll
    0.70
    mal
    0.67
    alis
    0.67
    ethy
    0.67
    GUI
    0.65
    oidal
    0.65
    urgical
    0.64
    thia
    0.64
    Activations Density 0.113%

    No Known Activations