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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. 2855
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    Explanations

    quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing quantities or amounts

    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
     confirmation
    -0.78
     largeDownload
    -0.74
     indictment
    -0.72
     vict
    -0.69
    glas
    -0.68
    atts
    -0.68
     exaggeration
    -0.68
     thence
    -0.68
    icer
    -0.66
    Solution
    -0.66
    POSITIVE LOGITS
     aspects
    1.06
     kinds
    0.89
     existing
    0.87
    things
    0.86
     unrelated
    0.85
     sectors
    0.84
     unspecified
    0.82
     subsystem
    0.80
     facets
    0.80
     important
    0.78
    Activations Density 0.447%

    No Known Activations