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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. 11-RES-JB
    11. 2029
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    Explanations

    terms related to procedures or steps in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    elements related to game mechanics and participant roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cas
    -0.63
    dd
    -0.56
    ran
    -0.54
    idi
    -0.54
    gha
    -0.54
     Gibson
    -0.51
     Cadillac
    -0.51
    Benz
    -0.51
    omez
    -0.50
    otos
    -0.50
    POSITIVE LOGITS
     reperto
    0.62
     themselves
    0.59
     numbered
    0.56
     fulfill
    0.55
     overlap
    0.54
     designation
    0.54
     assignment
    0.53
     expire
    0.52
     validity
    0.52
     overload
    0.52
    Activations Density 0.759%

    No Known Activations