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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. 16000
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    Explanations

    phrases indicating a choice between "one or two" of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize quantity or approximation

    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
    NetMessage
    -0.69
     Accessed
    -0.68
     TRE
    -0.66
     ãĤµ
    -0.65
     Ney
    -0.64
     Deer
    -0.63
     Winter
    -0.61
     Vil
    -0.61
    gard
    -0.60
    Thor
    -0.59
    POSITIVE LOGITS
     versa
    0.68
    cffffcc
    0.67
    oline
    0.63
     displacement
    0.61
    owsky
    0.61
    inese
    0.60
     cylinder
    0.59
     magazine
    0.59
     indicative
    0.58
    imilation
    0.58
    Activations Density 0.336%

    No Known Activations