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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. 5-RES-JB
    6. 19330
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sabha
    -0.70
    asus
    -0.66
    plane
    -0.65
    ded
    -0.64
    lich
    -0.64
     Libre
    -0.62
    rip
    -0.60
    BUG
    -0.60
     Shooter
    -0.59
     Syndicate
    -0.59
    POSITIVE LOGITS
    mith
    1.40
    uggest
    1.39
    poons
    1.20
    paces
    1.15
    pring
    1.14
    ettings
    1.14
    creen
    1.12
    hip
    1.09
    hops
    1.07
    hips
    1.05
    Activations Density 0.216%

    No Known Activations