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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. 0-RES-JB
    6. 827
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    Explanations

    phrases related to drinking

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking alcohol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.78
    rious
    -0.69
    aeda
    -0.64
     lat
    -0.64
     accompl
    -0.63
    Requ
    -0.63
     gre
    -0.63
    RIC
    -0.61
     suites
    -0.60
     Lans
    -0.60
    POSITIVE LOGITS
    emouth
    0.84
    ewater
    0.74
    umen
    0.71
    animal
    0.70
    çͰ
    0.70
    ecast
    0.69
    )(
    0.66
    emaker
    0.65
    bernatorial
    0.64
     Devi
    0.63
    Activations Density 0.000%

    No Known Activations