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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. 17500
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    INDEX
    Explanations

    phrases containing specific names or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to melanin and its derivatives

    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
     Fit
    -0.69
     queen
    -0.68
     Holmes
    -0.67
     Hath
    -0.66
     Sched
    -0.66
     Coco
    -0.65
     clearance
    -0.62
     permissions
    -0.62
     Crom
    -0.60
     brackets
    -0.60
    POSITIVE LOGITS
    waukee
    1.15
    theless
    1.14
    terday
    1.13
    iture
    1.07
    cffff
    0.93
    agne
    0.92
    veyard
    0.91
    emonic
    0.90
    hyde
    0.89
    ingers
    0.89
    Activations Density 0.023%

    No Known Activations