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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. 7-RES-JB
    6. 20956
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    Explanations

    names or references to individuals or entities, especially those with the letters 'id'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ID" or related identifiers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.91
    andise
    -0.85
    =-=-
    -0.72
     Seym
    -0.72
    estern
    -0.69
     Remem
    -0.63
     biscuits
    -0.61
    izabeth
    -0.60
    £ı
    -0.60
     Nova
    -0.59
    POSITIVE LOGITS
    irection
    1.18
    ividual
    1.12
    iots
    1.05
    eways
    0.97
    irect
    0.96
    aniel
    0.93
    imensional
    0.92
    der
    0.91
    ocument
    0.91
    gets
    0.91
    Activations Density 0.029%

    No Known Activations