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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. 7-RES-JB
    11. 14264
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    Explanations

    various code and programming-related terms

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and specifications, particularly related to programming or data structures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    osures
    -0.72
    quit
    -0.68
    hower
    -0.59
    ploy
    -0.59
    asionally
    -0.56
     recalled
    -0.55
     recalls
    -0.53
    sers
    -0.51
    ruce
    -0.51
    quiet
    -0.51
    POSITIVE LOGITS
    iqueness
    0.60
    Magikarp
    0.60
     nutshell
    0.59
    pects
    0.57
    vari
    0.57
    smanship
    0.56
    manship
    0.55
     pertaining
    0.53
     acronym
    0.52
     governs
    0.52
    Activations Density 1.523%

    No Known Activations