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    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. 13465
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    Explanations

    quotes starting with the word "that"

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" used in various contexts

    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
    aukee
    -0.65
    izont
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    wn
    -0.58
    ãĥĺ
    -0.57
    WI
    -0.57
    ãĥ¥
    -0.56
    ãĥ¬
    -0.55
    BC
    -0.55
     stall
    -0.54
    POSITIVE LOGITS
     although
    0.82
    esson
    0.78
     fateful
    0.77
    soever
    0.76
     they
    0.72
     contradicts
    0.72
    chery
    0.64
    eday
    0.64
    ylum
    0.63
     "[
    0.62
    Activations Density 0.233%

    No Known Activations