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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. 2-RES-JB
    11. 6556
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    Explanations

    instances of items or objects being mentioned in the context of various situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions or discussions of various items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITY
    -0.74
    orks
    -0.73
     Telegram
    -0.69
     Bern
    -0.66
     Durham
    -0.66
     Gib
    -0.65
    wards
    -0.65
    ño
    -0.65
     Berks
    -0.63
    grad
    -0.62
    POSITIVE LOGITS
     items
    1.18
    mith
    0.94
    items
    0.93
     item
    0.89
     belongings
    0.89
     purchases
    0.88
    abilia
    0.87
    item
    0.86
    izer
    0.85
    Items
    0.84
    Activations Density 0.020%

    No Known Activations