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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. 4-RES-JB
    11. 10374
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    Explanations

    terms related to competitive events or rivalries

    oai_token-act-pair · gpt-3.5-turbo

    references to competition, particularly in sports or contests

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

    No Comments

    Negative Logits
    ahon
    -0.71
    owe
    -0.71
    stones
    -0.70
    erest
    -0.69
    thus
    -0.68
    config
    -0.68
    vest
    -0.67
    âĵĺ
    -0.65
    olia
    -0.64
    asel
    -0.64
    POSITIVE LOGITS
    eers
    0.77
     competition
    0.74
     entrants
    0.74
    naire
    0.71
     winners
    0.69
    ivity
    0.65
    ĸļ
    0.65
     pressures
    0.64
     contestants
    0.64
     exams
    0.64
    Activations Density 0.015%

    No Known Activations