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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. 1-RES-JB
    11. 405
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    INDEX
    Explanations

    adjectives related to luxurious, indulgent, or extravagant experiences

    oai_token-act-pair · gpt-3.5-turbo

    words that describe intensity, enthusiasm, or boldness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Surv
    -0.76
    OTOS
    -0.72
     Died
    -0.72
    owment
    -0.71
    Downloadha
    -0.68
    lights
    -0.67
     Riding
    -0.65
    utation
    -0.65
    orah
    -0.65
     dissolved
    -0.64
    POSITIVE LOGITS
    acious
    1.40
    acity
    1.10
    aciously
    1.07
    ãĤ¦ãĤ¹
    0.88
    ãĥ¼ãĤ¯
    0.88
    ãĥ³ãĤ¸
    0.88
    ibility
    0.87
    nesses
    0.87
    iously
    0.81
    minded
    0.78
    Activations Density 0.009%

    No Known Activations