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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. 21497
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    Explanations

    the word "Prof" followed by a name, likely indicating references to professors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of professors

    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
     ashore
    -0.76
     routed
    -0.74
     setback
    -0.70
     ranger
    -0.70
     slee
    -0.67
     overboard
    -0.66
     cramped
    -0.66
     rout
    -0.65
     retri
    -0.64
     handc
    -0.64
    POSITIVE LOGITS
    essors
    1.76
    iciency
    1.27
    essor
    1.21
    iles
    1.17
    icient
    1.16
    ound
    1.09
    ession
    1.08
     Hawking
    1.01
    essed
    1.01
    essing
    0.98
    Activations Density 0.014%

    No Known Activations