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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. 16758
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    Explanations

    references to specific unusual phrases containing "Sad"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "sadness" or related emotional states

    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
    RAFT
    -0.84
    YP
    -0.71
    ardless
    -0.68
    ORGE
    -0.65
    BOOK
    -0.65
     Sheen
    -0.64
    ĨĴ
    -0.64
    FAULT
    -0.63
    ONES
    -0.63
    ambers
    -0.63
    POSITIVE LOGITS
    omas
    0.97
     Pupp
    0.95
    Sad
    0.91
    emic
    0.90
    der
    0.89
    imaru
    0.88
    hya
    0.87
     Sad
    0.85
    iso
    0.84
    rament
    0.82
    Activations Density 0.007%

    No Known Activations