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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. 7-RES-JB
    11. 2169
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    INDEX
    Explanations

    phrases expressing accomplishment, success, or progress

    oai_token-act-pair · gpt-3.5-turbo

    references to completing tasks or fulfilling responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iru
    -0.73
    vice
    -0.65
    interstitial
    -0.64
    itty
    -0.63
    1967
    -0.59
    IDS
    -0.58
    ppa
    -0.58
    20439
    -0.56
    window
    -0.56
     laun
    -0.55
    POSITIVE LOGITS
     lately
    1.19
     since
    0.92
     countless
    0.85
     innumerable
    0.75
     hitherto
    0.74
    since
    0.73
     numerous
    0.73
     recently
    0.72
     strides
    0.69
    ublic
    0.66
    Activations Density 0.934%

    No Known Activations