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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. 4540
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    Explanations

    keywords related to connections or associations, such as "links", "defined", and "spans"

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate connection or links between different ideas or entities

    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
    ibliography
    -0.67
    arty
    -0.66
    ricks
    -0.62
     Quit
    -0.60
    hov
    -0.59
    spin
    -0.57
    hern
    -0.57
    hra
    -0.56
    zbollah
    -0.54
    rets
    -0.54
    POSITIVE LOGITS
     outweigh
    0.60
     inevitably
    0.59
     existed
    0.58
     lacked
    0.58
     [|
    0.58
     resembled
    0.58
     resides
    0.57
     belonged
    0.56
     preceded
    0.55
     ought
    0.55
    Activations Density 2.176%

    No Known Activations