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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. 1-RES-JB
    11. 17970
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    Explanations

    verbs related to implementing or establishing actions or laws

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to legislative or policy actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.69
     Maple
    -0.65
    ---------
    -0.64
     Rabbit
    -0.61
     Rider
    -0.61
    aimon
    -0.61
    Downloadha
    -0.61
    hire
    -0.60
     Nare
    -0.59
     Hornets
    -0.59
    POSITIVE LOGITS
    ing
    2.11
    ments
    1.30
    ership
    1.17
    eering
    1.14
    ions
    1.13
    ING
    1.05
    itives
    1.04
    ings
    1.04
    abilia
    1.02
    ingham
    1.01
    Activations Density 0.081%

    No Known Activations