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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. 4-RES-JB
    11. 20294
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    Explanations

    specific objects or entities mentioned in various contexts within the document

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to programs, objects, and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ô
    -0.61
    phies
    -0.55
    pta
    -0.54
    cale
    -0.53
     Undead
    -0.53
    steen
    -0.52
    ara
    -0.50
     Buff
    -0.50
     Drops
    -0.50
    Weather
    -0.49
    POSITIVE LOGITS
     itself
    0.93
     amounted
    0.72
     belonged
    0.68
    ultimate
    0.65
    's
    0.61
     site
    0.61
     originated
    0.60
     generator
    0.60
     circuit
    0.60
    washer
    0.59
    Activations Density 0.925%

    No Known Activations