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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. 6416
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    Explanations

    superlatives or words indicating the best option or choice

    oai_token-act-pair · gpt-3.5-turbo

    words indicating superiority, effectiveness, or optimality in various contexts

    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
     Sina
    -0.62
    sing
    -0.62
    redd
    -0.61
    opers
    -0.61
    hou
    -0.60
    cape
    -0.60
     sclerosis
    -0.60
    ashes
    -0.60
    mere
    -0.59
    sv
    -0.58
    POSITIVE LOGITS
     suited
    0.97
    IER
    0.82
    enough
    0.77
     enough
    0.74
    ãĥ¼ãĥĨ
    0.73
    ctuary
    0.72
    tarian
    0.71
     safest
    0.71
    imum
    0.69
    ior
    0.67
    Activations Density 0.207%

    No Known Activations