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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. 6-RES-JB
    11. 7455
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    INDEX
    Explanations

    years mentioned in sentences

    oai_token-act-pair · gpt-3.5-turbo

    specific years related to significant events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gib
    -0.66
    EStreamFrame
    -0.65
     bip
    -0.60
    ype
    -0.59
     rusty
    -0.58
     subst
    -0.58
    hed
    -0.57
     ship
    -0.57
    icate
    -0.57
    venge
    -0.57
    POSITIVE LOGITS
    -'
    0.97
     onwards
    0.85
    å¹
    0.84
    bard
    0.70
    ixties
    0.69
    assetsadobe
    0.68
     onward
    0.67
    ividual
    0.67
    20439
    0.66
     BCE
    0.64
    Activations Density 0.150%

    No Known Activations