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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. 7-RES-JB
    11. 20011
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    Explanations

    explicit statements or discussions about evidence and support

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to evidence and support for claims or arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.81
    ahime
    -0.80
    ãĥ¼ãĥ³
    -0.73
     Shares
    -0.71
    ppa
    -0.68
    astery
    -0.67
     Gazette
    -0.67
    adobe
    -0.66
    efer
    -0.66
    topic
    -0.66
    POSITIVE LOGITS
     conclusive
    0.93
     dispro
    0.91
     collusion
    0.90
     corrobor
    0.90
     wrongdoing
    0.89
     validity
    0.87
     pudding
    0.85
     tampering
    0.85
    smoking
    0.84
     substant
    0.84
    Activations Density 0.192%

    No Known Activations