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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. 9-RES-JB
    11. 23750
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    INDEX
    Explanations

    specific numerical and textual patterns, potentially related to technical or financial data

    oai_token-act-pair · gpt-3.5-turbo

    references to data or numerical values in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uterte
    -0.51
     Abbott
    -0.49
     Cardinal
    -0.48
     Eisen
    -0.48
     Kubrick
    -0.47
     Gentleman
    -0.46
    DragonMagazine
    -0.44
     Clapper
    -0.44
     tonight
    -0.44
     Highlander
    -0.43
    POSITIVE LOGITS
    IAL
    0.58
    ãĤ§
    0.58
    IJ
    0.54
     laun
    0.53
    iculty
    0.53
    heit
    0.52
    ãĤ¿
    0.51
    ittle
    0.51
     agre
    0.50
    ense
    0.50
    Activations Density 1.040%

    No Known Activations