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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3371
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    Explanations

    names of places or people with the syllable "har" and it gives a high activation value for occurrences of the name "Harri"

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to certain places or people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subp
    -0.81
    İĭ
    -0.77
     guarant
    -0.64
    ulhu
    -0.63
    ifice
    -0.62
     magnification
    -0.61
     coord
    -0.61
     contrace
    -0.60
     carrot
    -0.58
     Cosponsors
    -0.58
    POSITIVE LOGITS
    inger
    0.79
    oola
    0.76
    ogle
    0.73
    schild
    0.72
    raid
    0.70
    cliffe
    0.69
    ette
    0.66
    dal
    0.66
    ocks
    0.66
    Collins
    0.65
    Activations Density 0.092%

    No Known Activations