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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. 9-RES-JB
    11. 18617
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the term "Cons" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WOOD
    -0.77
     Meadow
    -0.71
     Hoover
    -0.68
     Ames
    -0.66
     Amos
    -0.66
     scratch
    -0.65
     Afghans
    -0.64
    ILLE
    -0.64
     Gamb
    -0.64
     Wast
    -0.63
    POSITIVE LOGITS
    ervatives
    1.50
    umers
    1.49
    idered
    1.49
    ensus
    1.47
    piracy
    1.46
    ensual
    1.43
    cientious
    1.39
    istent
    1.38
    olid
    1.33
    umed
    1.31
    Activations Density 0.025%

    No Known Activations