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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. 23370
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    Explanations

    mentions of a specific name 'ordon'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gordon" in various contexts

    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
    CHA
    -0.64
    BOOK
    -0.64
    lihood
    -0.61
    DAY
    -0.60
    CHAPTER
    -0.59
     Encyclopedia
    -0.59
    akespe
    -0.58
    awar
    -0.58
     latent
    -0.57
    astical
    -0.57
    POSITIVE LOGITS
    naire
    1.31
    ordon
    1.19
    inarily
    0.89
    nance
    0.89
    arding
    0.84
    selves
    0.84
    ieu
    0.83
    naires
    0.81
    inary
    0.78
    eering
    0.78
    Activations Density 0.010%

    No Known Activations