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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. 19957
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    Explanations

    words related to strong expressions or arguments

    oai_token-act-pair · gpt-3.5-turbo

    words and terms relating to specific medical or biological substances and conditions

    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
     Judgment
    -0.75
     Bans
    -0.64
    fix
    -0.64
    word
    -0.63
     guiActiveUnfocused
    -0.62
     hospital
    -0.60
    hammad
    -0.59
    VIS
    -0.57
     hospitals
    -0.57
     conscience
    -0.57
    POSITIVE LOGITS
    ifer
    1.22
    andom
    1.11
    icity
    0.97
    ously
    0.95
    cia
    0.93
    acies
    0.92
    ous
    0.92
    acy
    0.86
    ative
    0.86
    ocious
    0.85
    Activations Density 0.008%

    No Known Activations