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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. 24543
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    Explanations

    expressions of negative emotions like shock, disappointment, and sadness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment and emotional distress

    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
     favoured
    -0.74
     prest
    -0.72
     favored
    -0.71
    uese
    -0.69
     tandem
    -0.69
     detrim
    -0.69
     arsen
    -0.67
    soDeliveryDate
    -0.67
    vernment
    -0.66
     ledger
    -0.66
    POSITIVE LOGITS
    olla
    0.77
    whel
    0.74
     coli
    0.71
     aroused
    0.67
    lied
    0.64
    looking
    0.64
    founded
    0.63
     Prompt
    0.62
    secution
    0.62
     Kag
    0.62
    Activations Density 0.520%

    No Known Activations