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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. 11-RES-JB
    11. 3850
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    INDEX
    Explanations

    positive expressions of enjoyment or approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive sentiments or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.76
    soDeliveryDate
    -0.67
    pton
    -0.62
    orig
    -0.60
     Lank
    -0.59
    english
    -0.59
    HEAD
    -0.59
    origin
    -0.58
     Inqu
    -0.58
    Default
    -0.57
    POSITIVE LOGITS
     seeing
    1.14
     knowing
    1.08
     hearing
    1.00
     watching
    0.91
     discovering
    0.90
     witnessing
    0.89
     chatting
    0.83
     to
    0.81
     remembering
    0.80
     meeting
    0.79
    Activations Density 0.158%

    No Known Activations