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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. 0-RES-JB
    11. 12641
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    Explanations

    specific names or terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "Cl" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tatt
    -0.66
     pancakes
    -0.65
     fulfillment
    -0.65
     deport
    -0.64
     postal
    -0.63
     explain
    -0.63
     motivating
    -0.62
     repay
    -0.62
     moot
    -0.62
     luck
    -0.61
    POSITIVE LOGITS
    Cl
    3.71
    cl
    2.06
     Cl
    1.99
    CL
    1.72
     CL
    1.53
    Cla
    1.44
     cl
    1.30
    acl
    1.26
    Clar
    1.26
    CLA
    1.20
    Activations Density 0.019%

    No Known Activations