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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. 1-RES-JB
    11. 23541
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    Explanations

    specific patterns related to computation and code

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "I'll" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.81
    ãĥĩ
    -0.73
    lished
    -0.72
    paralle
    -0.70
    */(
    -0.69
     Phant
    -0.67
    è¦ļéĨĴ
    -0.66
    tained
    -0.65
    ItemTracker
    -0.64
     lion
    -0.59
    POSITIVE LOGITS
    ll
    1.23
    oyd
    1.22
    uci
    1.00
    inois
    0.96
    uminati
    0.95
    ength
    0.94
    nd
    0.93
    gling
    0.90
    owship
    0.89
    ices
    0.89
    Activations Density 0.028%

    No Known Activations