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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. 12963
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    Explanations

    locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles

    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
     referen
    -0.71
     situ
    -0.69
     kettle
    -0.63
     pots
    -0.63
     inj
    -0.62
    olicy
    -0.62
    alog
    -0.62
     resultant
    -0.62
    Ĥİ
    -0.62
    å¯
    -0.61
    POSITIVE LOGITS
    ãĥ¼ãĥĨãĤ£
    0.83
    ving
    0.79
    theless
    0.77
    ttes
    0.75
    gence
    0.73
    ts
    0.72
    ging
    0.72
    ges
    0.70
    tsky
    0.70
    ez
    0.70
    Activations Density 0.011%

    No Known Activations