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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. 11094
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    Explanations

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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 @ 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
     Examination
    -0.74
    XL
    -0.73
    aceae
    -0.71
    bably
    -0.68
    ufact
    -0.66
    arsity
    -0.66
    itialized
    -0.64
    STD
    -0.64
    gae
    -0.63
    ipment
    -0.63
    POSITIVE LOGITS
     âĢº
    0.62
     mins
    0.62
     »
    0.59
     Juliet
    0.58
     Wed
    0.57
     insider
    0.57
     Maur
    0.57
     msec
    0.57
     Thu
    0.57
     auth
    0.56
    Activations Density 0.035%

    No Known Activations