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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. 0-RES-JB
    6. 23728
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    INDEX
    Explanations

    words related to dishonesty and lack of integrity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantity and size

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CAP
    -0.67
     clinically
    -0.66
     ANGEL
    -0.65
     paralyzed
    -0.65
     schizophren
    -0.65
     stricken
    -0.63
     injured
    -0.62
     halluc
    -0.58
     atten
    -0.58
     discriminated
    -0.58
    POSITIVE LOGITS
    enty
    4.45
    esty
    1.44
    ewski
    1.12
    arge
    1.11
    elve
    1.07
    esome
    1.03
    ogle
    0.99
    doms
    0.98
     Plenty
    0.96
    inx
    0.93
    Activations Density 0.040%

    No Known Activations