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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. 21205
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    Explanations

    phrases related to being on the sidelines, such as observing or not actively participating

    oai_token-act-pair · gpt-3.5-turbo

    references to "sidelines" or "sideline" in various contexts

    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
    Lear
    -0.69
    eros
    -0.64
    York
    -0.63
    odor
    -0.62
    Nusra
    -0.62
    OPER
    -0.62
    gran
    -0.61
    Hen
    -0.60
    eric
    -0.60
    ISO
    -0.60
    POSITIVE LOGITS
     sidelines
    1.14
    swer
    0.80
     sideline
    0.79
    itters
    0.77
     Ago
    0.76
    ngth
    0.76
    Ħ¢
    0.74
    staff
    0.73
    manship
    0.73
    )</
    0.73
    Activations Density 0.008%

    No Known Activations