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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. 4-RES-JB
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    Explanations

    valid items or documents within a document or text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "valid" in various contexts

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

    No Comments

    Negative Logits
    hedon
    -0.83
    xual
    -0.71
    peak
    -0.70
    opsy
    -0.70
    Mania
    -0.70
    ILA
    -0.68
     Sisters
    -0.68
     Kut
    -0.67
    ynthesis
    -0.67
    irez
    -0.66
    POSITIVE LOGITS
    ators
    1.03
    ating
    1.02
    alties
    1.01
    ator
    0.93
    iation
    0.87
    iated
    0.87
    ations
    0.85
    acies
    0.84
    iations
    0.80
    ates
    0.80
    Activations Density 0.010%

    No Known Activations