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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. 7527
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    Explanations

    phrases where a person is the subject, followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    the word "so" used as a discourse marker

    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
     prose
    -0.62
     Nap
    -0.62
     polyg
    -0.60
     triangle
    -0.60
     remnants
    -0.60
     [[
    -0.60
     Arch
    -0.60
     Merc
    -0.59
     caps
    -0.59
     tracing
    -0.58
    POSITIVE LOGITS
    zin
    1.21
    othe
    1.16
    fter
    1.08
    pping
    1.06
    bered
    1.06
    ooo
    1.05
    oooo
    1.05
    apy
    1.03
    ppy
    1.02
    letes
    1.00
    Activations Density 0.010%

    No Known Activations