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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. 8-RES-JB
    11. 3827
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    Explanations

    references to specific company names or products with special symbols in them

    oai_token-act-pair · gpt-3.5-turbo

    references to companies, particularly with a focus on financial performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jog
    -0.72
    undown
    -0.71
     horm
    -0.68
     vulner
    -0.67
     prostitute
    -0.66
     readings
    -0.66
     decomp
    -0.66
     myster
    -0.65
     weave
    -0.65
     uranium
    -0.64
    POSITIVE LOGITS
    ï¸ı
    1.01
    HQ
    0.95
    Own
    0.85
    UAL
    0.85
    CEO
    0.85
    STD
    0.83
    owned
    0.83
    ÃĽ
    0.83
    Ö¼
    0.81
    76561
    0.80
    Activations Density 0.194%

    No Known Activations