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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. 12-RES-JB
    11. 3797
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    Explanations

    the word "some" at varying levels of activation up to 10

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ired
    -0.78
    eton
    -0.76
    ossier
    -0.74
    gon
    -0.72
    vest
    -0.72
    ween
    -0.72
    Leaks
    -0.71
    vid
    -0.70
    reon
    -0.70
    essa
    -0.69
    POSITIVE LOGITS
     semblance
    1.20
    place
    1.18
     sort
    1.01
     serious
    0.94
     pretty
    0.91
     nifty
    0.89
     kind
    0.88
    ones
    0.87
     nice
    0.85
     of
    0.84
    Activations Density 0.120%

    No Known Activations