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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. 1-RES-JB
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    Explanations

    the word "possess" at high activations

    oai_token-act-pair · gpt-3.5-turbo

    the term "possess" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.77
    bank
    -0.72
    RFC
    -0.68
    mil
    -0.67
    ser
    -0.67
     departure
    -0.63
     NCT
    -0.62
    align
    -0.61
    step
    -0.61
    gnu
    -0.60
    POSITIVE LOGITS
     possession
    1.00
     possessed
    0.97
    sburg
    0.94
    ivity
    0.89
     possess
    0.84
    nesses
    0.84
     possessing
    0.84
    ivities
    0.83
    IVE
    0.83
    isance
    0.83
    Activations Density 0.007%

    No Known Activations