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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. 9-RES-JB
    11. 5557
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    Explanations

    companies or organizations that people work for

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the phrase "worked for" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.75
    909
    -0.72
    ãĥ¯ãĥ³
    -0.68
    feature
    -0.68
    Definition
    -0.66
    acial
    -0.65
     plotted
    -0.65
    accompan
    -0.64
    urn
    -0.64
    女
    -0.63
    POSITIVE LOGITS
     hire
    0.95
     clients
    0.83
     awhile
    0.83
    geries
    0.82
     organisations
    0.81
     multinational
    0.79
     him
    0.76
     corporations
    0.76
     Fortune
    0.74
     charity
    0.74
    Activations Density 0.155%

    No Known Activations