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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1411
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    Explanations

    words related to actions, decisions, and behaviors, with a focus on behavior towards tasks and responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or decisions related to personal or psychological states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.67
     Composite
    -0.61
    mination
    -0.58
    earch
    -0.58
     respectively
    -0.58
     unison
    -0.57
     discrep
    -0.57
     guiActiveUnfocused
    -0.56
    ogether
    -0.55
    Else
    -0.54
    POSITIVE LOGITS
     himself
    1.07
     Himself
    0.69
     personally
    0.65
    pocket
    0.58
     directing
    0.56
    panic
    0.55
     reelection
    0.54
     his
    0.54
    liest
    0.54
     wife
    0.53
    Activations Density 1.270%

    No Known Activations