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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. 2-RES-JB
    11. 5546
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    Explanations

    words related to possession or ownership

    oai_token-act-pair · gpt-3.5-turbo

    words related to positivity and approval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.85
    bsite
    -0.76
     largeDownload
    -0.76
    olicited
    -0.74
    FORE
    -0.71
    udder
    -0.70
    Miller
    -0.70
     Sutherland
    -0.67
    tower
    -0.66
    SUP
    -0.66
    POSITIVE LOGITS
    itive
    1.49
    ly
    1.17
    itives
    1.17
    lly
    0.88
    LY
    0.88
     minded
    0.88
    itiveness
    0.84
    ness
    0.81
    NESS
    0.79
    iple
    0.77
    Activations Density 0.009%

    No Known Activations