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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. 9210
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    Explanations

    references to firms or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to businesses or companies

    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
    vernment
    -0.71
     Maw
    -0.71
     Ans
    -0.69
     Viz
    -0.68
    izons
    -0.67
     Voters
    -0.66
     Hud
    -0.66
     Extrem
    -0.66
     Alley
    -0.65
    hemy
    -0.64
    POSITIVE LOGITS
     firm
    1.06
     handshake
    0.98
    ament
    0.89
     firms
    0.83
    anyahu
    0.82
     footing
    0.81
    orporated
    0.80
    orpor
    0.77
     Firm
    0.76
    astically
    0.76
    Activations Density 0.015%

    No Known Activations