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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. 2661
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    Explanations

    instances of word repetition for emphasis or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve temporal references or occurrences in the context of events

    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
    /-
    -0.80
    "}],"
    -0.70
     Mages
    -0.68
    issance
    -0.68
    /(
    -0.67
     groove
    -0.67
     resil
    -0.66
    alach
    -0.65
    "},{"
    -0.65
     COMPLE
    -0.64
    POSITIVE LOGITS
     regards
    1.00
     speeches
    1.00
     remarks
    0.99
     briefings
    0.95
     regard
    0.92
     blaming
    0.91
     questioning
    0.87
     endorsing
    0.86
     remark
    0.86
     asserting
    0.85
    Activations Density 0.488%

    No Known Activations