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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. 7-RES-JB
    11. 8616
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    Explanations

    phrases related to corporate entities or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to corporate entities and discussions about corporate culture and governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
    xual
    -0.76
    itives
    -0.76
    lessly
    -0.74
    icans
    -0.74
    mble
    -0.73
    lest
    -0.72
    range
    -0.71
    uberty
    -0.71
    rez
    -0.70
    POSITIVE LOGITS
     espionage
    0.94
     sponsorship
    0.93
     executives
    0.93
    orpor
    0.90
    porate
    0.89
     headquarters
    0.86
     restructuring
    0.86
     outsourcing
    0.83
    oreal
    0.82
     conglomer
    0.81
    Activations Density 0.029%

    No Known Activations