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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. 12-RES-JB
    11. 3080
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    INDEX
    Explanations

    references to technology products, specifically laptops

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of specific laptop models and related product attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    om
    -0.90
    oco
    -0.87
    osuke
    -0.87
    igl
    -0.86
    osc
    -0.85
    omen
    -0.84
    oring
    -0.83
    omaly
    -0.83
    portation
    -0.81
    agher
    -0.81
    POSITIVE LOGITS
    teen
    0.69
    GES
    0.65
     ROCK
    0.65
     exha
    0.64
     Toad
    0.61
     RAD
    0.61
     Ret
    0.60
     Promise
    0.59
     Moose
    0.59
     REST
    0.58
    Activations Density 0.176%

    No Known Activations