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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 1333
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    Explanations

    phrases related to gathering or collecting items or individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "round" and its variations, indicating actions or descriptions related to rounding up

    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
    natureconservancy
    -0.89
    iments
    -0.77
    acca
    -0.72
    ufact
    -0.71
    orship
    -0.70
    iquid
    -0.70
    oir
    -0.69
    href
    -0.68
    ettel
    -0.67
    ienced
    -0.63
    POSITIVE LOGITS
    abouts
    1.06
    trip
    0.98
    about
    0.97
    Rect
    0.85
    Robin
    0.85
    table
    0.83
    stad
    0.83
     corners
    0.82
     rob
    0.79
    ups
    0.78
    Activations Density 0.033%

    No Known Activations