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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. 9-RES-JB
    11. 20291
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    Explanations

    the name "Sad" or related variations

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.86
     Reloaded
    -0.76
     Collider
    -0.70
    FORMATION
    -0.67
    ingen
    -0.64
    ãĤ¼ãĤ¦ãĤ¹
    -0.64
    姫
    -0.64
     Breaker
    -0.64
    Ĥİ
    -0.62
     Tsukuyomi
    -0.61
    POSITIVE LOGITS
    wick
    1.08
    akov
    0.87
    ler
    0.85
    akis
    0.85
    iot
    0.84
    roxy
    0.83
    rien
    0.81
    ropy
    0.81
    lik
    0.80
    uras
    0.80
    Activations Density 0.116%

    No Known Activations