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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. 1035
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    Explanations

    IDs

    oai_token-act-pair · gpt-3.5-turbo

    identifiers or codes associated with entities or subjects

    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
    andise
    -1.02
     Seym
    -0.73
    bilt
    -0.72
     silence
    -0.67
     Nun
    -0.64
    ruciating
    -0.63
    ndum
    -0.62
    orsi
    -0.62
     indo
    -0.59
     Papua
    -0.58
    POSITIVE LOGITS
    irect
    1.15
    irection
    1.03
    iots
    1.01
    ocument
    1.00
    imensional
    0.98
    escription
    0.92
    DEN
    0.90
    ouble
    0.89
    itor
    0.87
    ividual
    0.86
    Activations Density 0.015%

    No Known Activations