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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. 7-RES-JB
    11. 24568
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    Explanations

    specific mentions of types of building materials, especially focusing on tiles

    oai_token-act-pair · gpt-3.5-turbo

    references to tiles and tiling in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulner
    -0.91
    izons
    -0.82
    ournal
    -0.80
    ITE
    -0.76
    itably
    -0.73
    ĺħ
    -0.72
    IZ
    -0.70
    rison
    -0.70
    ãĥĦ
    -0.69
    trigger
    -0.68
    POSITIVE LOGITS
    brates
    0.90
    brate
    0.85
    sheet
    0.83
    erers
    0.82
    mates
    0.80
    arer
    0.77
     sheets
    0.75
    erer
    0.74
     Sheet
    0.73
     Tale
    0.73
    Activations Density 0.079%

    No Known Activations