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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. 2-RES-JB
    11. 18860
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    INDEX
    Explanations

    mentions or descriptions of equipment or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erd
    -0.77
    ort
    -0.70
     Democr
    -0.68
    erer
    -0.67
    athan
    -0.66
    ¥
    -0.66
    vo
    -0.66
    gets
    -0.66
    itan
    -0.64
    mary
    -0.64
    POSITIVE LOGITS
     equipment
    1.12
     Equipment
    0.96
     malf
    0.81
     manufacturer
    0.80
    paio
    0.80
     setups
    0.76
    racuse
    0.76
     confiscated
    0.72
    ipment
    0.72
    anguage
    0.70
    Activations Density 0.016%

    No Known Activations