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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. 14097
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    Explanations

    Twitter interactions related to the action of "blocking" and "unblocking" users

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "block" in various forms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    tti
    -0.68
    hospital
    -0.68
     toget
    -0.65
     appropri
    -0.62
    jri
    -0.62
    ppa
    -0.61
     Sabha
    -0.61
     prest
    -0.60
     molten
    -0.60
     McA
    -0.59
    POSITIVE LOGITS
    ables
    1.16
    ances
    1.13
    able
    1.12
    ance
    1.00
    ers
    1.00
    ment
    0.97
    ability
    0.96
    zee
    0.94
    ancing
    0.90
    ages
    0.88
    Activations Density 0.020%

    No Known Activations