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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. 1-RES-JB
    11. 21638
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    Explanations

    phrases related to reasons or justifications

    oai_token-act-pair · gpt-3.5-turbo

    references to legal, ethical, or justifiable reasons for actions or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eng
    -0.71
     Lomb
    -0.64
    arin
    -0.63
     cycl
    -0.62
    eco
    -0.61
    xon
    -0.58
     gust
    -0.58
     Abyssal
    -0.58
    usterity
    -0.58
     Silent
    -0.58
    POSITIVE LOGITS
     grounds
    1.35
    keeper
    1.04
    keepers
    1.03
     Grounds
    0.99
    grounds
    0.96
    combe
    0.82
    LEY
    0.79
    ãĥ¼ãĥĨãĤ£
    0.76
    mere
    0.76
    ground
    0.75
    Activations Density 0.005%

    No Known Activations