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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. 4-RES-JB
    11. 12421
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    Explanations

    verbs related to actions performed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or processes that are being observed or managed

    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
     gotta
    -0.56
    ajo
    -0.56
     recorder
    -0.56
    rise
    -0.55
     compound
    -0.51
     Rebel
    -0.51
     Brisbane
    -0.51
     squat
    -0.50
     revolt
    -0.50
     stripes
    -0.50
    POSITIVE LOGITS
    YING
    0.85
    oing
    0.77
    aundering
    0.69
    itored
    0.67
    ãĤ¡
    0.67
    cedented
    0.66
    ĸļ
    0.65
    ivating
    0.64
    BY
    0.64
    Ó
    0.63
    Activations Density 0.294%

    No Known Activations