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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15778
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    Explanations

    code snippets and programming-related keywords

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of angle brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -1.10
     destro
    -1.08
     Seym
    -0.96
    İĭ
    -0.90
     millenn
    -0.82
    onite
    -0.82
    eatures
    -0.81
    unal
    -0.79
    oola
    -0.77
     ende
    -0.76
    POSITIVE LOGITS
    _>
    1.23
    âĸijâĸij
    0.90
    âĸij
    0.86
     >
    0.85
    .<
    0.84
    =>
    0.84
    TPS
    0.81
    âĸĴ
    0.79
    OPLE
    0.76
    ihad
    0.75
    Activations Density 0.012%

    No Known Activations