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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. 8-RES-JB
    11. 12500
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bett
    -0.71
    urat
    -0.71
    thood
    -0.70
    rat
    -0.68
    laus
    -0.68
    esses
    -0.67
    steen
    -0.67
    dogs
    -0.66
    roo
    -0.66
    ribune
    -0.65
    POSITIVE LOGITS
     address
    0.81
     addr
    0.78
     exception
    0.78
    taboola
    0.78
     addresses
    0.76
     sender
    0.74
    Address
    0.69
     inbox
    0.68
     attachments
    0.68
     email
    0.66
    Activations Density 0.019%

    No Known Activations