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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. 11-RES-JB
    11. 3570
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    Explanations

    details about buildings, including their size and structure

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to building dimensions and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issors
    -0.76
     saliva
    -0.74
     Canaver
    -0.70
     jaws
    -0.70
    osponsors
    -0.66
    clips
    -0.64
    opes
    -0.64
    errors
    -0.62
    ãĤ§
    -0.62
    ilipp
    -0.62
    POSITIVE LOGITS
    story
    1.22
     floors
    1.20
     acre
    1.17
    acre
    1.13
    bedroom
    1.10
     bedrooms
    1.10
     bedroom
    1.09
    floor
    1.05
     acres
    1.04
    lane
    1.00
    Activations Density 0.159%

    No Known Activations