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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. 4-RES-JB
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    Explanations

    words related to criminal activities or legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rim" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scratch
    -0.74
     Mississ
    -0.69
    Constructed
    -0.68
     Lisbon
    -0.68
    ETF
    -0.67
     Senegal
    -0.64
     Mandela
    -0.61
     Cheong
    -0.61
     Dangerous
    -0.61
     Oy
    -0.60
    POSITIVE LOGITS
    onial
    1.03
    rim
    1.02
    nant
    0.96
    inals
    0.96
    inatory
    0.93
    inally
    0.90
    ming
    0.88
    acter
    0.84
    aldi
    0.84
    inating
    0.83
    Activations Density 0.011%

    No Known Activations