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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. 2-RES-JB
    11. 15411
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    INDEX
    Explanations

    mentions of business groups or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific companies or business groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lvl
    -0.72
     Madison
    -0.68
    cale
    -0.67
    wards
    -0.66
    LV
    -0.65
    itability
    -0.65
    dri
    -0.63
    pires
    -0.60
    shire
    -0.60
     pedestrian
    -0.60
    POSITIVE LOGITS
    roups
    1.09
     Group
    0.93
    arettes
    0.91
    Group
    0.89
    emonium
    0.88
    arette
    0.79
     Groups
    0.77
     disbanded
    0.76
    roup
    0.74
    rats
    0.72
    Activations Density 0.017%

    No Known Activations