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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
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    Explanations

    locations in a building, specifically focusing on different floors like upstairs and downstairs

    oai_token-act-pair · gpt-3.5-turbo

    references to locations, particularly 'upstairs' and 'downstairs'

    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
    aceous
    -0.71
    ck
    -0.70
    uality
    -0.69
    eming
    -0.68
    itarian
    -0.64
    cking
    -0.64
    war
    -0.62
    EVA
    -0.62
    nesota
    -0.61
    Filename
    -0.60
    POSITIVE LOGITS
    stairs
    1.62
     downstairs
    1.26
     upstairs
    1.26
     stairs
    1.01
     challeng
    0.87
     renovations
    0.86
     apartment
    0.86
     balcony
    0.85
     renovation
    0.84
     neighbour
    0.82
    Activations Density 0.005%

    No Known Activations