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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. 6-RES-JB
    11. 10870
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.70
     bureaucr
    -0.67
     secretaries
    -0.63
     centrally
    -0.61
     charismatic
    -0.61
    elligence
    -0.60
     curve
    -0.60
     adamant
    -0.60
    ensional
    -0.59
     princ
    -0.59
    POSITIVE LOGITS
    ha
    0.97
    hi
    0.97
    ja
    0.96
    jit
    0.95
    uli
    0.91
    qa
    0.89
    q
    0.87
    apon
    0.87
    hei
    0.86
    ishi
    0.85
    Activations Density 0.153%

    No Known Activations