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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. 4-RES-JB
    11. 6485
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    Explanations

    words related to boiling or intense heat

    oai_token-act-pair · gpt-3.5-turbo

    references to the process of boiling or related cooking techniques

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

    No Comments

    Negative Logits
    ournal
    -0.93
    alez
    -0.81
    stood
    -0.79
    eele
    -0.79
    ngth
    -0.79
     Agency
    -0.76
    prises
    -0.74
    mble
    -0.74
    ledged
    -0.73
     confir
    -0.73
    POSITIVE LOGITS
     boils
    1.29
     boiling
    1.15
     boil
    1.14
     boiled
    1.13
     kettle
    0.97
     simmer
    0.94
    SourceFile
    0.74
     stove
    0.73
     vinegar
    0.72
     vapor
    0.70
    Activations Density 0.016%

    No Known Activations