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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. 4-RES-JB
    11. 1207
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    Explanations

    names of the company "McKinsey" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the consultancy firm McKinsey and terms related to thermodynamics

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

    No Comments

    Negative Logits
    theless
    -0.88
     DRAG
    -0.71
    ãĥĻ
    -0.67
    âĵĺ
    -0.67
    Magikarp
    -0.66
    âĢ¢âĢ¢
    -0.64
    л
    -0.62
    IBLE
    -0.60
    ι
    -0.60
     Gravity
    -0.60
    POSITIVE LOGITS
    ney
    1.03
    sey
    0.98
    nea
    0.95
    neys
    0.94
    seys
    0.94
    aminer
    0.89
    emaker
    0.87
    ned
    0.83
    intosh
    0.82
    daq
    0.81
    Activations Density 0.021%

    No Known Activations