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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. 6-RES-JB
    6. 1952
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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 @ 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
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    No Comments

    Negative Logits
    taboola
    -0.89
     disg
    -0.78
    oiler
    -0.76
     virtues
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     highs
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     ingred
    -0.74
     reel
    -0.74
     jaws
    -0.73
    ãĤ©
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     pasture
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    POSITIVE LOGITS
    Header
    1.01
    ()
    1.00
    Time
    0.99
    Event
    0.99
    Object
    0.98
    Args
    0.98
    Cand
    0.98
    Parameters
    0.98
    Context
    0.98
    Handler
    0.98
    Activations Density 0.065%

    No Known Activations