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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. 4477
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    Commentary or quotes within a text

    oai_token-act-pair · gpt-3.5-turbo

    words ending in specific suffixes, particularly those denoting quality or state

    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
    ancial
    -0.75
    atever
    -0.69
    lished
    -0.69
     warranty
    -0.69
     debugging
    -0.68
     anonymity
    -0.67
    ensional
    -0.66
    mercial
    -0.64
    redits
    -0.64
    ModLoader
    -0.63
    POSITIVE LOGITS
    eh
    0.83
    hus
    0.80
    ea
    0.79
    ons
    0.78
    oni
    0.78
    mont
    0.77
    hon
    0.76
    ei
    0.76
    on
    0.76
    oka
    0.76
    Activations Density 0.189%

    No Known Activations