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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. 5997
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    Explanations

    keywords related to a person's name followed by various contexts or actions associated with them

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the letters 'ks'

    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
    Interstitial
    -0.77
     redistributed
    -0.68
     cancers
    -0.68
     prem
    -0.67
     mosqu
    -0.67
     chemotherapy
    -0.65
     ISI
    -0.64
     veterinary
    -0.63
     miscar
    -0.63
    ãĤ¤
    -0.63
    POSITIVE LOGITS
    creen
    1.37
    crew
    1.14
    haw
    1.11
    irk
    1.09
    andr
    1.07
    kies
    1.06
    ansas
    1.05
    ilver
    1.01
    hire
    1.00
    wagen
    1.00
    Activations Density 0.011%

    No Known Activations