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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. 18205
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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
    Not in Any Lists

    No Comments

    Negative Logits
    SR
    -0.75
     Seg
    -0.74
    DI
    -0.65
    MpServer
    -0.65
    isha
    -0.63
    BE
    -0.62
    EO
    -0.61
    SI
    -0.61
     Ferr
    -0.61
     Scal
    -0.61
    POSITIVE LOGITS
    ansion
    0.85
    ģĸ
    0.85
    theless
    0.81
    urities
    0.78
    ateg
    0.76
    perature
    0.75
    sylvania
    0.74
    istration
    0.74
    akable
    0.74
    atown
    0.73
    Activations Density 0.043%

    No Known Activations