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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. 11-RES-JB
    11. 4055
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    Explanations

    instances where something is taken or brought to a certain level or state

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate levels or degrees of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     instructions
    -0.65
    oids
    -0.60
    dn
    -0.60
     invitation
    -0.59
     invitations
    -0.59
    oÄŁ
    -0.57
     Initiative
    -0.57
    ette
    -0.57
     umbrella
    -0.57
     UPDATE
    -0.57
    POSITIVE LOGITS
    venge
    1.42
    rouse
    1.15
     halt
    0.93
     certain
    0.86
    EStream
    0.85
     crawl
    0.81
     pulp
    0.74
    merce
    0.74
     point
    0.73
     predetermined
    0.73
    Activations Density 0.131%

    No Known Activations