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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. 7-RES-JB
    11. 1836
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    Explanations

    keywords or phrases related to default settings or configurations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to default settings and configurations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    borough
    -1.02
    atform
    -0.77
    wick
    -0.76
    iddles
    -0.76
    coni
    -0.73
    chn
    -0.72
    abeth
    -0.71
    areth
    -0.71
    ropolitan
    -0.71
    lehem
    -0.70
    POSITIVE LOGITS
     settings
    1.01
     defaults
    0.96
     behaviour
    0.86
     implementations
    0.85
     configuration
    0.84
     disclaimer
    0.83
     gateway
    0.83
    isable
    0.82
    dict
    0.82
    ised
    0.81
    Activations Density 0.027%

    No Known Activations