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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22639
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to problems and concerns affecting various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.64
    lette
    -0.62
    oos
    -0.62
    agers
    -0.62
     halves
    -0.60
    parts
    -0.60
    AGES
    -0.59
     sucker
    -0.59
    ossus
    -0.59
    atorium
    -0.59
    POSITIVE LOGITS
    afety
    1.15
    hooting
    1.10
    ourcing
    1.07
    pring
    1.07
    peed
    1.07
    mith
    1.05
    paces
    1.04
    cape
    1.03
    hift
    1.02
    uggest
    1.02
    Activations Density 0.426%

    No Known Activations