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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. 2-RES-JB
    11. 12117
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    Explanations

    negative or disappointing outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Unfortunately."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inas
    -0.74
    tein
    -0.73
    agra
    -0.72
    enders
    -0.71
    dq
    -0.71
     kindred
    -0.70
    ingham
    -0.70
    oned
    -0.69
    appro
    -0.68
    raised
    -0.68
    POSITIVE LOGITS
     Sadly
    0.74
    Unfortunately
    0.74
     Err
    0.72
    ESA
    0.71
     adolesc
    0.70
     mosqu
    0.70
    Sadly
    0.69
     Unfortunately
    0.69
     unfortunately
    0.68
    imaru
    0.68
    Activations Density 0.010%

    No Known Activations