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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21148
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     payday
    -0.70
     adoption
    -0.67
    DOWN
    -0.64
    é¾įå¥ij士
    -0.63
     felon
    -0.63
     runaway
    -0.62
     enroll
    -0.60
     Sector
    -0.59
    Ws
    -0.59
     Tracker
    -0.59
    POSITIVE LOGITS
    acies
    1.31
    istically
    1.28
    itating
    1.23
    istics
    1.19
    ately
    1.13
    itated
    1.13
    izing
    1.09
    itate
    1.07
    itative
    1.05
    atory
    1.04
    Activations Density 0.064%

    No Known Activations