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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. 13436
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    Explanations

    words or phrases related to negative or damaging implications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to connotations and their impact on perception

    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
    ================
    -0.71
     Blaz
    -0.63
     Sebast
    -0.62
    amaz
    -0.61
    ========
    -0.60
     Hert
    -0.59
     Dek
    -0.59
     GEN
    -0.59
     Shelby
    -0.59
     CB
    -0.58
    POSITIVE LOGITS
    isman
    0.94
    notations
    0.88
     tarn
    0.87
    afort
    0.86
    nergy
    0.85
    tones
    0.84
    geist
    0.79
    agate
    0.79
    asks
    0.73
    obyl
    0.73
    Activations Density 0.040%

    No Known Activations