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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. 11186
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    Explanations

    words related to being inclined or predisposed towards a certain action or state

    oai_token-act-pair · gpt-3.5-turbo

    words related to inclination or preference

    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
    kay
    -0.60
    gang
    -0.60
    lua
    -0.58
     Ot
    -0.58
     Cord
    -0.57
     Trophy
    -0.56
     Yep
    -0.55
     Gord
    -0.55
     Sag
    -0.55
    jar
    -0.54
    POSITIVE LOGITS
    tenance
    0.94
    acter
    0.78
    ibilities
    0.70
     pestic
    0.69
    acters
    0.68
    rencies
    0.66
    ãĥł
    0.66
    umbnails
    0.66
    nesses
    0.65
    lihood
    0.63
    Activations Density 0.154%

    No Known Activations