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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. 15031
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    Explanations

    specific names and entities, such as "Kotick" and "Baylor"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or terms related to individuals or organizations

    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
    byss
    -0.79
    xual
    -0.78
    arcer
    -0.77
    BuyableInstoreAndOnline
    -0.73
    mers
    -0.73
    iments
    -0.72
    nit
    -0.72
     tyr
    -0.70
    tone
    -0.70
    icides
    -0.70
    POSITIVE LOGITS
    zeb
    1.01
    Ĵ
    0.83
    ointed
    0.82
    zzle
    0.79
    ĵ
    0.77
    Ķ
    0.76
     Haram
    0.76
    icial
    0.75
    iversary
    0.74
    ça
    0.73
    Activations Density 0.053%

    No Known Activations