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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. 2147
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    INDEX
    Explanations

    patterns related to ordering or sequencing steps and actions in a process or algorithm

    oai_token-act-pair · gpt-3.5-turbo

    connections and relationships within data or concepts

    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
    burgh
    -0.76
    poke
    -0.70
    onica
    -0.69
    ilo
    -0.68
     Born
    -0.67
    ivan
    -0.66
    dayName
    -0.66
    lay
    -0.66
    landish
    -0.65
    ãģĨ
    -0.64
    POSITIVE LOGITS
     hence
    1.60
     thus
    1.54
     therefore
    1.50
     consequently
    1.45
     vice
    1.44
     thereby
    1.42
     secondly
    1.33
     optionally
    1.27
    rogens
    1.24
     furthermore
    1.23
    Activations Density 0.358%

    No Known Activations