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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. 11-RES-JB
    11. 870
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    Explanations

    mentions of a person named 'Howard.'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of identities and significant figures in a context related to decision-making or leadership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tyre
    -0.86
    jas
    -0.86
     vis
    -0.84
    packs
    -0.82
     Uz
    -0.80
    vik
    -0.79
     Fork
    -0.77
     pavement
    -0.77
     Patel
    -0.74
     opio
    -0.74
    POSITIVE LOGITS
     Howard
    2.42
    Howard
    2.38
     Lew
    1.42
     Dwight
    1.41
    Lew
    1.31
     Stern
    1.29
     Robin
    1.21
     Rudd
    1.15
     Gary
    1.13
     Sheldon
    1.12
    Activations Density 0.197%

    No Known Activations