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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. 1530
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    Explanations

    words related to specific types of organized activities or institutions

    oai_token-act-pair · gpt-3.5-turbo

    words related to conditions or situations

    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
    ãĤ¨ãĥ«
    -0.77
    public
    -0.72
    ãĥ©ãĥ³
    -0.65
    psc
    -0.65
    twitter
    -0.62
    âĵĺ
    -0.61
    ashington
    -0.60
    gd
    -0.60
    èª
    -0.59
    github
    -0.59
    POSITIVE LOGITS
    itions
    1.33
    ition
    1.07
    hower
    1.05
    ary
    0.96
    chool
    0.95
    naire
    0.92
    uits
    0.88
    itious
    0.88
    eer
    0.86
    arily
    0.85
    Activations Density 0.008%

    No Known Activations