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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
    11. 22025
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    Explanations

    action words that describe processes or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to essential elements in a proposal or persuasive argument

    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
    ilaterally
    -0.61
     Azerb
    -0.54
    itud
    -0.53
    æµ
    -0.53
    edIn
    -0.53
    FFFF
    -0.52
    onica
    -0.52
    nown
    -0.50
    åĮ
    -0.50
    ãĥ¼ãĥĨ
    -0.49
    POSITIVE LOGITS
    merce
    0.55
    ktop
    0.54
    CRIPTION
    0.54
    esson
    0.51
    ionics
    0.50
     DARK
    0.50
    osponsors
    0.48
    oreal
    0.48
    BILITY
    0.48
     Caption
    0.47
    Activations Density 1.886%

    No Known Activations