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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. 3-RES-JB
    11. 12310
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    Explanations

    phrases related to physical injuries such as soreness, bruising, and swelling

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical pain and injury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.88
    utenberg
    -0.76
    udeau
    -0.75
    odcast
    -0.74
    IBLE
    -0.74
    successful
    -0.73
    NPR
    -0.70
    orously
    -0.69
    aults
    -0.69
    ossession
    -0.69
    POSITIVE LOGITS
     sore
    1.37
    ness
    0.84
    beans
    0.79
    bean
    0.77
    rament
    0.76
     throats
    0.75
     throat
    0.72
    ng
    0.72
     pinch
    0.72
     itching
    0.71
    Activations Density 0.015%

    No Known Activations