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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. 15393
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    Explanations

    proper nouns and abbreviations related to organizations or entities

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms indicative of organizations or groups

    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
    taboola
    -0.93
     Sakuya
    -0.67
     ru
    -0.66
    ogene
    -0.65
    ItemTracker
    -0.62
    psc
    -0.62
     istg
    -0.60
     func
    -0.60
    ãĤ¨ãĥ«
    -0.60
    nard
    -0.59
    POSITIVE LOGITS
    KA
    0.90
    INESS
    0.88
    NT
    0.87
    ESH
    0.86
    ITION
    0.86
    TO
    0.83
    YS
    0.82
    ACK
    0.82
    OSS
    0.82
    senal
    0.82
    Activations Density 0.119%

    No Known Activations