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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. 10206
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    Explanations

    phrases related to technological features and options

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significance or impact of certain actions or events

    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
    kees
    -0.68
    quished
    -0.65
    zan
    -0.65
    ogun
    -0.65
    otin
    -0.64
    upiter
    -0.62
    ahu
    -0.62
    Į
    -0.62
    ģĸ
    -0.62
    untarily
    -0.61
    POSITIVE LOGITS
     albeit
    1.10
     namely
    1.07
     however
    0.89
     whereby
    0.86
     agility
    0.86
     diligence
    0.85
     including
    0.83
     creativity
    0.82
     wherein
    0.79
    itiveness
    0.79
    Activations Density 0.444%

    No Known Activations