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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. 13131
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    Explanations

    conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the pronoun "it" and related phrases indicating possession or action

    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
    ²¾
    -0.70
    Ŀ
    -0.65
    UFF
    -0.63
    endish
    -0.60
    NZ
    -0.57
     Tayyip
    -0.57
    leground
    -0.57
    UTC
    -0.56
    noon
    -0.56
    urable
    -0.56
    POSITIVE LOGITS
    'll
    0.89
    'd
    0.78
     SHALL
    0.78
     MUST
    0.73
    ulia
    0.68
    ucci
    0.67
    may
    0.67
     would
    0.65
     SHOULD
    0.63
    aples
    0.63
    Activations Density 0.266%

    No Known Activations