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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. 9577
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    Explanations

    verbs that imply action or production (e.g. arranged, hired, pooled, sworn, manufactured, produced)

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to employment and production activities

    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
    knife
    -0.72
     bush
    -0.70
    ajo
    -0.68
    cot
    -0.66
    raise
    -0.62
     actionGroup
    -0.62
    Shift
    -0.62
    Operation
    -0.62
    rouse
    -0.62
    robe
    -0.61
    POSITIVE LOGITS
    omorphic
    0.85
    ĸļ
    0.83
    entious
    0.77
    ãĤ´
    0.73
    ependent
    0.69
    ertodd
    0.68
     geographically
    0.68
     Ichigo
    0.68
    £ı
    0.67
    л
    0.64
    Activations Density 0.318%

    No Known Activations