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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. 7140
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    Explanations

    ingredients and cooking instructions related to savory dishes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of salt in various contexts

    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
    merce
    -0.75
    vernment
    -0.71
    RD
    -0.67
    STEP
    -0.65
    JECT
    -0.64
    ITNESS
    -0.64
     Predict
    -0.63
     WARN
    -0.61
     DACA
    -0.60
    NT
    -0.59
    POSITIVE LOGITS
    iness
    0.98
    water
    0.98
    bite
    0.91
     iod
    0.84
     salt
    0.83
    illo
    0.83
    pick
    0.82
     baths
    0.80
    Salt
    0.77
     salts
    0.76
    Activations Density 0.013%

    No Known Activations