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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. 23727
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    Explanations

    terms related to justifications or reasoning for certain actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating justification or rationale for actions or decisions

    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
    ampa
    -0.68
    asty
    -0.67
    jer
    -0.66
    enge
    -0.65
    ivot
    -0.64
    ascus
    -0.63
    elta
    -0.62
    arna
    -0.61
    eni
    -0.61
    ils
    -0.60
    POSITIVE LOGITS
     grounds
    0.73
     of
    0.72
     they
    0.70
     basis
    0.69
     posed
    0.69
    naire
    0.68
     thereof
    0.68
     THEY
    0.68
    naires
    0.67
     Grounds
    0.64
    Activations Density 0.059%

    No Known Activations