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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. 4-RES-JB
    11. 6310
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    INDEX
    Explanations

    mentions of power outages

    oai_token-act-pair · gpt-3.5-turbo

    references to age or aging

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

    No Comments

    Negative Logits
    alion
    -0.69
    VIEW
    -0.67
     Asheville
    -0.66
     carbohyd
    -0.65
    leaf
    -0.62
    lege
    -0.61
    mn
    -0.60
    IFIED
    -0.60
    spe
    -0.60
    BN
    -0.59
    POSITIVE LOGITS
    cale
    1.27
    pace
    1.09
    aws
    1.02
    pread
    1.02
    hift
    1.00
    ystem
    1.00
    cript
    0.96
    hip
    0.94
    uits
    0.94
    hots
    0.94
    Activations Density 0.016%

    No Known Activations