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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 14507
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    Explanations

    phrases related to breaks or interruptions in activities or processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legislative or parliamentary procedures

    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
    gged
    -0.63
    nington
    -0.62
    rera
    -0.60
     Encyclopedia
    -0.60
     subtitle
    -0.59
    SOURCE
    -0.59
    Reply
    -0.59
     Solo
    -0.58
    source
    -0.58
     NYT
    -0.57
    POSITIVE LOGITS
     recess
    1.45
    engers
    0.96
    es
    0.93
    ional
    0.93
    ively
    0.90
    atile
    0.80
    shire
    0.80
    ioned
    0.80
     appointments
    0.78
    inia
    0.78
    Activations Density 0.003%

    No Known Activations