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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. 23960
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    Explanations

    technology-related terms, particularly related to software and company names

    oai_token-act-pair · gpt-3.5-turbo

    names of countries and geographical locations

    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
    igious
    -0.54
     oneself
    -0.53
    ulative
    -0.53
    hap
    -0.52
    rative
    -0.49
    erous
    -0.48
    DATA
    -0.48
    RESULTS
    -0.48
    TING
    -0.48
    ogeneous
    -0.47
    POSITIVE LOGITS
    itars
    0.53
    antam
    0.53
    ombat
    0.53
    istries
    0.53
     (#
    0.52
     aka
    0.51
     Thumbnails
    0.51
    vernight
    0.50
    guyen
    0.49
    caster
    0.49
    Activations Density 1.906%

    No Known Activations