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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. 3-RES-JB
    11. 5375
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    Explanations

    mentions of the word "cans", likely referring to food or beverage containers

    oai_token-act-pair · gpt-3.5-turbo

    references to canned products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     striving
    -0.80
     privileged
    -0.74
     honoring
    -0.72
     Strikes
    -0.71
     guarding
    -0.70
     wedd
    -0.68
     returning
    -0.67
     pursuing
    -0.67
     dishon
    -0.66
     theirs
    -0.66
    POSITIVE LOGITS
    't
    1.35
    vas
    1.09
    adian
    1.05
    isters
    0.96
    ister
    0.92
    nery
    0.92
    tera
    0.90
    atell
    0.88
    NOT
    0.88
    oes
    0.87
    Activations Density 0.119%

    No Known Activations