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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. 7-RES-JB
    11. 22649
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    Explanations

    phrases or words related to large quantities or collections

    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups of animals and their movement or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     submar
    -0.71
    aldi
    -0.64
     nap
    -0.62
    adal
    -0.61
    idine
    -0.61
    ringe
    -0.60
    actionDate
    -0.60
    oshenko
    -0.59
    ney
    -0.58
    tein
    -0.58
    POSITIVE LOGITS
    ingly
    0.94
    erness
    0.88
    ers
    0.81
    eson
    0.81
    stakes
    0.81
    Iterator
    0.81
    idays
    0.77
    ings
    0.77
    enger
    0.77
    eners
    0.76
    Activations Density 0.071%

    No Known Activations