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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. 4-RES-JB
    6. 16004
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    Explanations

    words related to the realization or awareness of a situation

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of realization or understanding

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

    No Comments

    Negative Logits
    nets
    -0.74
    alian
    -0.70
    «ĺ
    -0.70
    mong
    -0.65
     wrists
    -0.64
     mosquitoes
    -0.64
    awar
    -0.63
     costumes
    -0.60
     mosquit
    -0.60
    iman
    -0.59
    POSITIVE LOGITS
    orporated
    0.84
    grad
    0.82
    theless
    0.79
    ANCE
    0.78
    CLASSIFIED
    0.73
     acceptance
    0.72
    Detroit
    0.71
    tics
    0.71
    ance
    0.70
    initions
    0.70
    Activations Density 0.057%

    No Known Activations