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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. 8-RES-JB
    11. 10092
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    Explanations

    prepositions followed by a specific location or object where people are sitting

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "in" and its frequency used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŀ
    -0.70
    ¥
    -0.69
    catentry
    -0.67
    akia
    -0.66
    ulet
    -0.62
    lly
    -0.61
    killed
    -0.60
    idays
    -0.58
    linger
    -0.57
    tm
    -0.57
    POSITIVE LOGITS
    animate
    1.11
     accordance
    1.06
     lieu
    1.04
    ordinate
    1.04
     obscurity
    1.00
     front
    1.00
     limbo
    0.98
     conjunction
    0.94
    between
    0.94
    escap
    0.92
    Activations Density 0.179%

    No Known Activations