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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. 6-RES-JB
    11. 4471
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    Explanations

    words related to business firms or companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various firms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.78
    byss
    -0.72
     Strip
    -0.69
     Brotherhood
    -0.68
    hemy
    -0.68
     Miko
    -0.67
     Rousse
    -0.65
     Extrem
    -0.64
    xual
    -0.64
     Month
    -0.63
    POSITIVE LOGITS
    ament
    0.99
    astically
    0.83
     firm
    0.82
    orpor
    0.79
    itted
    0.78
     firms
    0.77
    orporated
    0.75
    aton
    0.73
    ures
    0.73
    ours
    0.73
    Activations Density 0.039%

    No Known Activations