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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. 8-RES-JB
    11. 1730
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    Explanations

    mentions of the consultancy company McKinsey

    oai_token-act-pair · gpt-3.5-turbo

    references to the consulting firm McKinsey and discussions about their reports or studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.91
    theless
    -0.72
    erness
    -0.65
    leness
    -0.64
     handed
    -0.60
     typew
    -0.60
     Elk
    -0.60
     awe
    -0.60
    eering
    -0.59
    ktop
    -0.58
    POSITIVE LOGITS
    ancing
    1.16
    ading
    1.13
    idation
    1.11
    ination
    1.00
    inated
    1.00
    asion
    1.00
    inating
    0.99
     Pradesh
    0.96
    ining
    0.95
    anced
    0.94
    Activations Density 0.113%

    No Known Activations