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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. 1-RES-JB
    11. 11458
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    Explanations

    phrases related to unfortunate situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of misfortune or negative circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ped
    -0.76
    icle
    -0.75
    appro
    -0.74
    enders
    -0.72
    raised
    -0.72
    icles
    -0.72
    oned
    -0.71
    igi
    -0.71
    ixed
    -0.68
    agers
    -0.68
    POSITIVE LOGITS
    ा
    0.86
    Unfortunately
    0.83
     Advantage
    0.77
    Sadly
    0.74
     Unfortunately
    0.74
     Sigma
    0.74
     Sadly
    0.73
    ESA
    0.73
    âĶĢâĶĢâĶĢâĶĢ
    0.73
     adolesc
    0.73
    Activations Density 0.011%

    No Known Activations