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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. 6-RES-JB
    11. 15566
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    instances of food preparation and cooking instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
    -0.76
    ãĥīãĥ©
    -0.73
    ospons
    -0.71
    nil
    -0.70
    steen
    -0.69
    dm
    -0.68
     someday
    -0.68
    agger
    -0.67
    ppelin
    -0.66
    watching
    -0.66
    POSITIVE LOGITS
     remaining
    0.98
     remainder
    0.97
     excess
    0.93
     entire
    0.88
     desired
    0.87
     smallest
    0.86
     contents
    0.85
     underside
    0.83
     aforementioned
    0.82
     ingredients
    0.80
    Activations Density 0.172%

    No Known Activations