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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. 7250
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    Explanations

    words related to a collection of tools or resources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to collections or groups of items and their qualities

    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
     pilgrims
    -0.73
    hips
    -0.73
    igi
    -0.72
    ially
    -0.71
    Ther
    -0.70
    hig
    -0.70
    doms
    -0.69
    ternity
    -0.68
    wolves
    -0.67
    death
    -0.67
    POSITIVE LOGITS
     repertoire
    1.04
     arsenal
    0.80
     reperto
    0.80
    tsky
    0.76
    ilogy
    0.74
    eers
    0.73
     playbook
    0.73
     Brus
    0.69
     clipboard
    0.67
    mble
    0.67
    Activations Density 0.016%

    No Known Activations