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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. 20185
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    Explanations

    phrases related to specific companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific companies and their financial instruments

    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
    imet
    -0.72
    aily
    -0.70
    jriwal
    -0.69
    eways
    -0.67
    oppers
    -0.66
    gebra
    -0.65
    agara
    -0.63
    ciplinary
    -0.62
    aber
    -0.61
    eway
    -0.61
    POSITIVE LOGITS
     MN
    1.41
     LD
    1.36
     VA
    1.35
     NL
    1.34
     HI
    1.34
    SG
    1.33
     AZ
    1.32
     MI
    1.31
     WS
    1.31
     IL
    1.30
    Activations Density 0.461%

    No Known Activations