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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. 10-RES-JB
    11. 4425
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    phrases related to communication and interaction

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.75
    pite
    -0.71
    ãĤ»
    -0.65
    atton
    -0.65
    amation
    -0.63
    iral
    -0.63
    qua
    -0.62
    inction
    -0.62
     "$:/
    -0.61
    ãĥĻ
    -0.61
    POSITIVE LOGITS
     constituents
    1.23
     stakeholders
    1.20
     clients
    1.20
     passers
    1.18
     policymakers
    1.18
     legislators
    1.17
     attendees
    1.10
     voters
    1.07
     prospective
    1.06
     superiors
    1.05
    Activations Density 0.316%

    No Known Activations