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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. 5910
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    INDEX
    Explanations

    phrases related to positive attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to collaboration and coexistence

    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
     orally
    -0.82
     towed
    -0.74
     boxed
    -0.71
     raided
    -0.70
     privately
    -0.69
     labelled
    -0.69
     taped
    -0.68
     tagged
    -0.67
     illegally
    -0.67
     annot
    -0.66
    POSITIVE LOGITS
    eness
    1.72
    ility
    1.71
    liness
    1.70
    iness
    1.69
    ness
    1.65
    ability
    1.65
    leness
    1.62
    iveness
    1.60
    fulness
    1.55
    itiveness
    1.54
    Activations Density 0.400%

    No Known Activations