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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. 8551
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and counts related to specific items or occurrences

    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
     fame
    -0.71
     vis
    -0.69
    ilege
    -0.64
     fert
    -0.64
     suscept
    -0.62
     disav
    -0.61
     exaggeration
    -0.61
    ifice
    -0.60
     blessing
    -0.59
    senal
    -0.59
    POSITIVE LOGITS
     consecutive
    0.99
    th
    0.87
    pc
    0.81
    teenth
    0.78
     separate
    0.78
     different
    0.78
     successive
    0.77
     Deg
    0.76
    %-
    0.76
     finalists
    0.75
    Activations Density 0.330%

    No Known Activations