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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. 3348
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    INDEX
    Explanations

    mentions of the word "Corn" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to corn and related names

    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
    ufact
    -0.90
     livest
    -0.89
     Lumpur
    -0.83
     Archangel
    -0.68
     avalanche
    -0.67
     therap
    -0.67
     captcha
    -0.64
     degraded
    -0.63
    CRIP
    -0.63
    selves
    -0.62
    POSITIVE LOGITS
    elia
    1.16
    ophon
    0.92
    bread
    0.90
    iard
    0.89
    flower
    0.88
    rose
    0.87
    auld
    0.86
    nis
    0.86
    ette
    0.86
    ers
    0.85
    Activations Density 0.009%

    No Known Activations