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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. 2-RES-JB
    11. 15671
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    Explanations

    words related to preferences or inclinations

    oai_token-act-pair · gpt-3.5-turbo

    words describing traits, skills, or tendencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venants
    -0.69
    ramid
    -0.69
    apor
    -0.68
    arant
    -0.67
    urers
    -0.64
    izable
    -0.64
    ntil
    -0.62
    nih
    -0.62
    idden
    -0.62
    leanor
    -0.61
    POSITIVE LOGITS
     flair
    0.81
    stick
    0.75
    KEY
    0.71
    èĥ
    0.70
    ="/
    0.69
    FN
    0.69
    CLE
    0.68
     quot
    0.67
    chery
    0.66
    åĭ
    0.66
    Activations Density 0.017%

    No Known Activations