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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. 10-RES-JB
    6. 23129
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    INDEX
    Explanations

    specific terms referring to essential elements or details within a context

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases emphasizing the concept of "that"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.98
    ãĤ´
    -0.84
    hig
    -0.83
    SEE
    -0.66
     Released
    -0.65
    Synopsis
    -0.64
    ãģ®é
    -0.64
    ãĥį
    -0.63
    imen
    -0.63
    FN
    -0.62
    POSITIVE LOGITS
     everybody
    1.39
     somebody
    1.38
     we
    1.26
     [
    1.20
     anybody
    1.20
     they
    1.05
     ['
    1.04
     you
    1.03
     people
    0.97
     maybe
    0.94
    Activations Density 0.339%

    No Known Activations