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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8887
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    INDEX
    Explanations

    references to a specific term or product abbreviation (PI)

    oai_token-act-pair · gpt-3.5-turbo

    references to the PI (presumably referring to a particular financial index or stock)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     emot
    -0.66
     reservation
    -0.65
     abst
    -0.65
     coff
    -0.64
     communal
    -0.64
     bur
    -0.63
     laps
    -0.62
     Yemen
    -0.61
     burial
    -0.60
     Entered
    -0.60
    POSITIVE LOGITS
    PI
    4.55
     PI
    1.77
    pi
    1.76
    SI
    1.50
    Pi
    1.50
    PN
    1.43
    PLA
    1.39
    CI
    1.38
    PU
    1.38
    PO
    1.37
    Activations Density 0.009%

    No Known Activations