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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. 1-RES-JB
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    Explanations

    phrases indicating meeting or encountering someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "met."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.78
    uyomi
    -0.74
    ignt
    -0.72
    wrap
    -0.70
    otics
    -0.69
    export
    -0.68
    Ħ¢
    -0.66
    adoes
    -0.66
    ItemTracker
    -0.65
    ocker
    -0.65
    POSITIVE LOGITS
    ropolis
    1.00
     met
    0.96
    amorph
    0.86
    ropolitan
    0.86
     Meet
    0.80
    aunt
    0.72
    lehem
    0.71
    rod
    0.70
    atron
    0.70
    ered
    0.70
    Activations Density 0.011%

    No Known Activations