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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. 3-RES-JB
    11. 8952
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    INDEX
    Explanations

    mentions of a specific location

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "here"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omore
    -0.71
     Eclipse
    -0.60
     Trace
    -0.59
    UTH
    -0.59
    ONSORED
    -0.58
     hygiene
    -0.58
    Shape
    -0.55
    regate
    -0.54
    visors
    -0.54
    omedical
    -0.53
    POSITIVE LOGITS
    abouts
    1.47
    tics
    1.33
    tic
    1.20
    tical
    1.18
    here
    0.86
     guiActiveUn
    0.77
    with
    0.70
    orer
    0.69
    trak
    0.67
     assembled
    0.66
    Activations Density 0.054%

    No Known Activations