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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. 6-RES-JB
    11. 7524
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    Explanations

    phrases mentioning preferences or habits

    oai_token-act-pair · gpt-3.5-turbo

    infinitive verb forms, specifically the structure "to + verb."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    river
    -0.69
    riots
    -0.65
    rieved
    -0.63
    aclysm
    -0.62
     warranted
    -0.59
    soDeliveryDate
    -0.59
     effected
    -0.58
    aepernick
    -0.57
     Zimmerman
    -0.57
     awaits
    -0.56
    POSITIVE LOGITS
     remind
    1.01
     pretend
    0.94
     keep
    0.89
     tease
    0.85
     think
    0.84
     amuse
    0.83
     entertain
    0.81
     hear
    0.80
     spend
    0.80
    ffee
    0.80
    Activations Density 0.050%

    No Known Activations