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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. 22664
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    Explanations

    words related to markings or engravings on objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to inscriptions and markings

    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
    nd
    -0.68
     Lowry
    -0.67
    annis
    -0.66
    psy
    -0.66
    asion
    -0.65
    DC
    -0.65
    FP
    -0.62
    ctory
    -0.62
    vati
    -0.62
    ffic
    -0.62
    POSITIVE LOGITS
     engraved
    1.39
     etched
    1.25
     inscription
    1.24
     inscribed
    1.02
     markings
    0.88
     imprint
    0.88
    imen
    0.87
     plaque
    0.87
    prints
    0.87
     handwritten
    0.80
    Activations Density 0.030%

    No Known Activations