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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. 24334
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    Explanations

    references to the location "Oregon" with varying degrees of specificity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "gon" and its variations within a specific context

    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
    VIS
    -0.79
    \<
    -0.66
     SAN
    -0.65
    Store
    -0.60
     EDITION
    -0.60
    EEP
    -0.58
    andem
    -0.58
    DIR
    -0.58
    TY
    -0.57
    wings
    -0.57
    POSITIVE LOGITS
    vernment
    1.22
    adal
    1.17
    auts
    1.05
    osal
    0.92
    zo
    0.92
    nel
    0.90
    uclear
    0.82
    asus
    0.81
    sey
    0.81
    xon
    0.80
    Activations Density 0.031%

    No Known Activations