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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. 8-RES-JB
    11. 10139
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    Explanations

    expressions of disappointment or surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment or discontent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     strengths
    -0.60
     UL
    -0.59
    idad
    -0.58
     duties
    -0.55
    iser
    -0.55
    Ł
    -0.54
    fold
    -0.54
    enh
    -0.54
    abase
    -0.53
     Atkinson
    -0.52
    POSITIVE LOGITS
     somehow
    0.79
     suddenly
    0.76
    agos
    0.76
    ammed
    0.68
     so
    0.65
     finally
    0.65
    querade
    0.64
     openly
    0.64
    forth
    0.64
    ped
    0.61
    Activations Density 0.491%

    No Known Activations