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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. 10-RES-JB
    11. 6941
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    Explanations

    phrases related to building materials, specifically concrete

    oai_token-act-pair · gpt-3.5-turbo

    mentions of concrete and related construction materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.95
    atch
    -0.85
    othal
    -0.84
    stakes
    -0.84
    arent
    -0.79
    atches
    -0.78
    onym
    -0.77
    oway
    -0.76
    yssey
    -0.75
    nah
    -0.75
    POSITIVE LOGITS
     slab
    1.29
     pillars
    1.20
     blocks
    1.17
     walls
    1.14
     floors
    1.14
     sculptures
    1.05
     sculpture
    0.98
     coffin
    0.98
     pavement
    0.97
     floor
    0.95
    Activations Density 0.076%

    No Known Activations