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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. 3-RES-JB
    11. 23192
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    INDEX
    Explanations

    references to wealth or richness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of wealth or richness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAYS
    -0.97
    OUT
    -0.77
    STD
    -0.74
    IENCE
    -0.72
    channelAvailability
    -0.72
    issors
    -0.71
    soDeliveryDate
    -0.70
    00200000
    -0.67
    FY
    -0.67
     Dresden
    -0.67
    POSITIVE LOGITS
     richer
    1.15
     rich
    0.90
    ochet
    0.89
    ly
    0.89
    ened
    0.88
    hardt
    0.85
    rich
    0.85
     enough
    0.83
    lier
    0.81
    esse
    0.80
    Activations Density 0.011%

    No Known Activations