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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. 11-RES-JB
    11. 1445
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    INDEX
    Explanations

    descriptive words related to quality or abundance

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases describing richness and density in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    soDeliveryDate
    -0.94
    prison
    -0.75
    PsyNetMessage
    -0.72
    channelAvailability
    -0.69
    perty
    -0.67
     GEAR
    -0.66
     malfunction
    -0.65
    phies
    -0.64
    ttle
    -0.64
    authorized
    -0.64
    POSITIVE LOGITS
    ly
    1.34
    ened
    1.07
     vein
    0.94
    ening
    0.92
     vegetation
    0.90
    mble
    0.90
    et
    0.89
    ively
    0.87
     foliage
    0.86
    etting
    0.83
    Activations Density 0.093%

    No Known Activations