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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. 3-RES-JB
    11. 15414
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    Explanations

    words related to smells and odors

    oai_token-act-pair · gpt-3.5-turbo

    words related to ownership and possession

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Origin
    -0.63
     decimal
    -0.62
    RN
    -0.62
    attach
    -0.61
     Reloaded
    -0.61
    ular
    -0.60
     responders
    -0.60
    STER
    -0.59
    NR
    -0.59
    ELS
    -0.59
    POSITIVE LOGITS
    ours
    1.18
    ouring
    0.94
    oured
    0.89
    our
    0.84
    neau
    0.83
    ¯¯¯¯¯¯¯¯
    0.78
    iful
    0.77
    iere
    0.74
    colour
    0.74
    iers
    0.72
    Activations Density 0.012%

    No Known Activations