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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. 6-RES-JB
    11. 7270
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    Explanations

    objects or items related to equipment or technology

    oai_token-act-pair · gpt-3.5-turbo

    specific items and components related to equipment and facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.79
     departments
    -0.73
    ãĤ¨ãĥ«
    -0.71
    inventoryQuantity
    -0.70
     actionGroup
    -0.70
     Subjects
    -0.67
    ategories
    -0.66
    Politics
    -0.65
    apeake
    -0.65
    ãĥĥãĥī
    -0.64
    POSITIVE LOGITS
     consisting
    1.03
     containing
    0.83
     generator
    0.82
    ifier
    0.81
     called
    0.78
     named
    0.77
     comprised
    0.76
     attached
    0.76
     resembling
    0.75
     attachment
    0.74
    Activations Density 0.443%

    No Known Activations