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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
    11. 1894
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    Explanations

    terms related to instructing or assigning tasks or responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    actions related to assigning or instilling something

    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
    fml
    -0.71
     cro
    -0.70
    wal
    -0.65
     Schwe
    -0.64
     Chrom
    -0.64
     anth
    -0.61
     cloud
    -0.59
    Cloud
    -0.59
     NTS
    -0.59
     Buch
    -0.58
    POSITIVE LOGITS
    ction
    0.93
    ciating
    0.92
    erous
    0.87
    ation
    0.83
    ments
    0.81
    mental
    0.80
    ursed
    0.80
    MENT
    0.79
    ations
    0.78
    ctions
    0.78
    Activations Density 0.084%

    No Known Activations