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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 1613
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    Explanations

    multi-word phrases related to people and their characteristics or actions, particularly those relating to medical conditions or social situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "people" along with related context

    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
    Quantity
    -0.70
     successor
    -0.58
    INAL
    -0.55
     Collider
    -0.55
    UCT
    -0.54
    ãĥ´ãĤ¡
    -0.54
    soDeliveryDate
    -0.54
     predecessor
    -0.54
    ãĥ¼ãĥĨ
    -0.53
    éĹ
    -0.53
    POSITIVE LOGITS
     themselves
    0.74
    vae
    0.64
     whom
    0.63
     congreg
    0.61
    pees
    0.61
    who
    0.59
    conserv
    0.58
     alike
    0.57
     theirs
    0.57
    doms
    0.56
    Activations Density 2.494%

    No Known Activations