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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. 10-RES-JB
    11. 4621
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    Explanations

    references to specific individuals in news or events

    oai_token-act-pair · gpt-3.5-turbo

    references to people involved in incidents or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivalry
    -0.71
    idth
    -0.70
     sexism
    -0.62
    arning
    -0.61
     revolution
    -0.59
     reinvent
    -0.58
    Balt
    -0.57
    Revolution
    -0.56
    ggles
    -0.55
    pires
    -0.55
    POSITIVE LOGITS
     shortly
    0.84
     ASAP
    0.82
     beforehand
    0.78
     peacefully
    0.77
     until
    0.73
     abduct
    0.72
     before
    0.72
     alive
    0.71
     fleeing
    0.71
     occupants
    0.70
    Activations Density 0.308%

    No Known Activations